Cybernetics and systems theory Books

Book SynopsisThis book provides a comprehensive look into China's emerging cyberspace strategy. It highlights the prime drivers of China's desire to be a cyber superpower and discusses the ways in which China is turning resources into cyber power.The book analyses China's domestic cyber policy initiatives, strategy documents, censorship measures, and the rationale behind its strong advocacy for sovereignty in cyberspace. It examines China's position on the prominent issues of cyberspace governance, norms and security in cyberspace, and key diplomatic initiatives. The book also discusses next-generation networks, artificial intelligence, quantum information sciences, and cyber warfare.An important contribution to the study of China's cyber policy, the book will be of interest to students and researchers of international relations,Chinese digitalisation, security studies, Chinese politics, international security, Chinese foreign policy, and Chinese economy. It will also be useful to

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Book SynopsisThis volume in the Encyclopedia of Complexity and Systems Science, Second Edition, covers recent developments in classical areas of ergodic theory, including the asymptotic properties of measurable dynamical systems, spectral theory, entropy, ergodic theorems, joinings, isomorphism theory, recurrence, nonsingular systems.Table of ContentsIntroduction to Ergodic Theory Ergodic Theory: Basic Examples and Constructions Ergodicity and Mixing Properties Ergodic Theory: Recurrence Ergodic Theorems Spectral Theory of Dynamical Systems Joinings in Ergodic Theory Entropy in Ergodic Theory Isomorphism Theory in Ergodic Theory Dynamical Systems of Probabilistic Origin: Gaussian and Poisson Systems Ergodic Theory: Non-singular Transformations Sarnak’s Conjecture from the Ergodic Theory Point of View Smooth Ergodic Theory Ergodic and spectral theory of area-preserving flows on surfaces Pressure and Equilibrium States in Ergodic Theory Parallels Between Topological Dynamics and Ergodic Theory Symbolic Dynamics Operator ergodic theory Dynamical Systems and C-algebras The complexity and the structure and classification of Dynamical Systems Ergodic Theory: Interactions with Combinatorics and Number Theory Ergodic Theory on Homogeneous Spaces and Metric Number Theory Ergodic Theory: Rigidity Chaos and Ergodic Theory Ergodic Theory: Fractal Geometry

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Book SynopsisTable of ContentsPreface v Part 1 Planning Phase 1 The Systems Analyst and Information Systems Development, 3 Introduction, 4 The Systems Analyst, 6 Systems Analyst Skills, 6 Systems Analyst Roles, 7 The Systems Development Life Cycle, 8 Planning, 10 Analysis, 11 Design, 12 Implementation, 12 Project Identification and Initiation, 13 System Request, 15 Applying the Concepts at DrōnTeq, 16 Feasibility Analysis, 19 Technical Feasibility, 20 Economic Feasibility, 21 Organizational Feasibility, 27 Applying the Concepts at DrōnTeq, 29 Chapter Review, 31 Appendix 1A: Detailed Economic Feasibility Analysis for DrōnTeq, 35 2 Project Selection and Management, 37 Introduction, 38 Project Selection, 39 Applying the Concepts at DrōnTeq, 40 Creating the Project Plan, 41 Project Methodology Options, 42 Selecting the Appropriate Development Methodology, 49 Staffing the Project, 52 Staffing Plan, 52 Coordinating Project Activities, 55 Managing and Controlling the Project, 58 Refining Estimates, 58 Managing Scope, 60 Timeboxing, 60 Managing Risk, 61 Applying the Concepts at DrōnTeq, 62 Staffing the Project, 63 Coordinating Project Activities, 64 Chapter Review, 65 Part 2 Analysis Phase 3 Requirements Determination, 71 Introduction, 72 The Analysis Phase, 72 Requirements Determination, 74 What Is a Requirement?, 74 The Process of Determining Requirements, 78 The Requirements Definition Statement, 78 Requirements Elicitation Techniques, 80 Requirements Elicitation in Practice, 80 Interviews, 81 Joint Application Development (JAD), 88 Questionnaires, 92 Document Analysis, 94 Observation, 96 Selecting the Appropriate Techniques, 96 Requirements Analysis Strategies, 98 Problem Analysis, 98 Root Cause Analysis, 98 Duration Analysis, 100 Activity-Based Costing, 100 Informal Benchmarking, 100 Outcome Analysis, 101 Technology Analysis, 101 Activity Elimination, 102 Comparing Analysis Strategies, 103 Applying the Concepts at DrōnTeq, 103 Eliciting and Analyzing Requirements, 103 Requirements Definition, 104 System Proposal, 104 Chapter Review, 106 4 Understanding Processes with Use Cases and Process Models, 111 Introduction, 112 What Is a Use Case?, 113 The Use Case Concept in a Nutshell, 113 Use Case Formats and Elements, 114 Casual Use Case Format, 114 Use Cases in Sequence, 117 Applying Use Cases, 118 Use Case Practical Tips, 118 Use Cases and Functional Requirements, 119 Use Cases and Testing, 119 Creating Use Cases, 120 Identify the Major Use Cases, 120 Identify the Major Steps for Each Use Case, 122 Identify Elements within Steps, 125 Confirm the Use Case, 128 Revise Functional Requirements Based on Use Cases, 129 Applying the Concepts at DrōnTeq, 129 Identifying the Major Use Cases, 129 Elaborating on the Use Cases, 130 Data Flow Diagrams, 134 Reading Data Flow Diagrams, 134 Elements of Data Flow Diagrams, 136 Using Data Flow Diagrams to Define Business Processes, 139 Process Descriptions, 142 Creating Data Flow Diagrams, 144 Creating the Context Diagram, 145 Creating Data Flow Diagram Fragments, 146 Creating the Level 0 Data Flow Diagram, 148 Creating Level 1 Data Flow Diagrams (and Below), 149 Validating the Data Flow Diagrams, 152 Applying the Concepts at DrōnTeq, 156 Developing the Process Model, 156 Creating Data Flow Diagram Fragments, 156 Creating the Level 1 Data Flow Diagram, 157 Creating Level 2 Data Flow Diagrams (and Below), 159 Validating the Data Flow Diagrams, 160 Chapter Review, 161 5 Data Modeling, 169 Introduction, 170 The Entity Relationship Diagram, 170 Reading an Entity Relationship Diagram, 171 Elements of an Entity Relationship Diagram, 172 The Data Dictionary and Metadata, 177 Creating an Entity Relationship Diagram, 179 Building Entity Relationship Diagrams, 179 Advanced Syntax, 182 Applying the Concepts at DrōnTeq, 184 Validating an Entity Relationship Diagram, 188 Design Guidelines, 188 Normalization, 191 Balancing Entity Relationship Diagrams with Data Flow Diagrams, 191 Chapter Review, 193 Appendix 5A: Normalizing The Data Model, 196 Part 3 Design Phase 6 Moving into Design, 203 Introduction, 204 Transition from Requirements to Design, 204 System Acquisition Strategies, 206 Custom Development, 208 Packaged Software, 209 Outsourcing, 210 Influences on the Acquisition Strategy, 213 Business Need, 213 In-House Experience, 214 Project Skills, 215 Project Management, 215 Time Frame, 215 Selecting an Acquisition Strategy, 215 Alternative Matrix, 216 Applying the Concepts at DrōnTeq, 218 Chapter Review, 220 7 Architecture Design, 222 Introduction, 223 Elements of an Architecture Design, 223 Architectural Components, 223 Client–Server Architectures, 224 Client–Server Tiers, 225 Server-Based Architecture, 227 Mobile Application Architecture, 228 Advances in Architecture Configurations, 229 Comparing Architecture Options, 230 Creating an Architecture Design, 231 Operational Requirements, 231 Performance Requirements, 232 Security Requirements, 234 Access Control Requirements, 236 Cultural and Political Requirements, 239 Designing the Architecture, 241 Hardware and Software Specification, 243 Applying the Concepts at DrōnTeq, 245 Creating an Architecture Design, 245 Hardware and Software Specification, 246 Chapter Review, 247 8 User Interface Design, 250 Introduction, 251 The Usability Concept, 251 Principles for User Interface Design, 252 Layout, 252 Content Awareness, 254 Aesthetics, 255 Usage Level, 255 Consistency, 257 Minimize User Effort, 258 Special Issues of Touch Screen Interface Design, 258 User Interface Design Process, 259 Understand the Users, 260 Organize the Interface, 262 Define Standards, 265 Interface Design Prototyping, 266 Interface Evaluation/Testing, 268 Navigation Design, 272 Basic Principles, 272 Menu Tips, 273 Message Tips, 275 Input Design, 278 Basic Principles, 278 Input Tips, 280 Input Validation, 282 Output Design, 282 Basic Principles, 282 Types of Outputs, 284 Media, 286 Applying the Concepts at DrōnTeq, 287 Understand the Users, 287 Organize the Interface, 288 Define Standards, 289 Interface Template Design, 289 Develop Prototypes, 294 Interface Evaluation/Testing, 295 Chapter Review, 295 9 Program Design, 300 Introduction, 301 Moving from Logical to Physical Process Models, 301 The Physical Data Flow Diagram, 301 Applying the Concepts at DrōnTeq, 304 Designing Programs, 305 Structure Chart, 308 Syntax, 309 Building the Structure Chart, 312 Applying the Concepts at DrōnTeq, 314 Design Guidelines, 318 Program Specification, 324 Syntax, 324 Applying the Concepts at DrōnTeq, 327 Chapter Review, 330 10 Data Storage Design, 336 Introduction, 337 Data Storage Formats, 337 Files, 338 Databases, 340 Selecting a Storage Format, 344 Applying the Concepts at DrōnTeq, 346 Moving from Logical to Physical Data Models, 347 The Physical Entity Relationship Diagram, 347 Revisiting the CRUD Matrix, 350 Applying the Concepts at DrōnTeq, 351 Optimizing Data Storage, 351 Optimizing Storage Efficiency, 354 Optimizing Access Speed, 356 Estimating Storage Size, 360 Applying the Concepts at DrōnTeq, 362 Chapter Review, 364 Part 4 Implementation Phase 11 Moving into Implementation, 369 Introduction, 369 Managing the Programming Process, 370 Assigning Programming Tasks, 370 Coordinating Activities, 371 Managing the Schedule, 372 Testing, 372 Test Planning, 374 Unit Tests, 374 Integration Tests, 377 System Tests, 377 Acceptance Tests, 377 Developing Documentation, 379 Types of Documentation, 380 Designing Documentation Structure, 380 Writing Documentation Topics, 382 Identifying Navigation Terms, 383 Applying the Concepts at DrōnTeq, 385 Managing Programming, 385 Testing, 385 Developing User Documentation, 386 Chapter Review, 389 12 Transition to the New System, 391 Introduction, 391 Making the Transition to the New System, 392 The Migration Plan, 393 Selecting the Conversion Strategy, 394 Preparing a Business Contingency Plan, 398 Preparing the Technology, 399 Preparing People for the New System, 400 Understanding Resistance to Change, 400 Revising Management Policies, 402 Assessing Costs and Benefits, 402 Motivating Adoption, 405 Enabling Adoption: Training, 406 Postimplementation Activities, 409 System Support, 409 System Maintenance, 410 Project Assessment, 412 Applying the Concepts at DrōnTeq, 414 Implementation Process, 414 Preparing the People, 414 Postimplementation Activities, 414 Chapter Review, 415 13 Agile Development Methods, 418 Introduction, 418 Origins of Agile, 419 Evolution of Agile Development, 420 Adoption of the Agile Approach, 421 Benefits of Agile Methods, 421 Adoption of Specific Agile Methodologies, 421 Scrum, 422 Overview of Scrum, 422 Scrum Characteristics, 424 Scrum Roles, 424 Scrum Features, 426 Scrum Processes, 430 How Does Scrum End?, 434 Other Types of Agile Methodologies, 434 Crystal Development Methodology, 434 Dynamic Systems Development Methodology, 435 Feature Driven Development, 435 Lean Software Development, 436 Comparing the SDLC with Agile Methodologies, 436 Chapter Review, 437 Index I-1

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Book Synopsis1. Introduction and Summary.- 2. Dynamics and Work.- 3. Information Entropy.- 3.a Entropy and relative entropy.- 3.b Gibbs states.- 3.c Entropy-increasing processes.- 4. Heat Baths.- 5. Reversible Processes.- 6. Closed Finite Systems.- 6.a Available work.- 6.b Recurrences.- 6.c Entropy functions.- 7. Open Systems.- 7.a Markov description.- 7.b Available work and entropy.- 7.c Master equation models.- 8. External Perturbations.- 8.a Models of the perturbations.- 8.b Classical systems.- 8.c Quantum systems.- 8.d Effects on the entropy functions.- 9. Thermodynamic Limit.- 10. Thermodynamic Entropy.- 10.a Thermodynamic processes and entropy.- 10.b Properties of the entropy functions.- 10.c Irreversibility and approach to equilibrium.- 11. Measurements, Entropy and Work.- 11.a Observations on the system.- 11.b Information and entropy.- 11.c Exchange of work and heat.- 12. Other Approaches.- Appendix A. Quantum Markov Processes.- A.1 Reduced dynamics.- A.2 Markov processes.- A.3 Non-passivitTable of Contents1. Introduction and Summary.- 2. Dynamics and Work.- 3. Information Entropy.- 3.a Entropy and relative entropy.- 3.b Gibbs states.- 3.c Entropy-increasing processes.- 4. Heat Baths.- 5. Reversible Processes.- 6. Closed Finite Systems.- 6.a Available work.- 6.b Recurrences.- 6.c Entropy functions.- 7. Open Systems.- 7.a Markov description.- 7.b Available work and entropy.- 7.c Master equation models.- 8. External Perturbations.- 8.a Models of the perturbations.- 8.b Classical systems.- 8.c Quantum systems.- 8.d Effects on the entropy functions.- 9. Thermodynamic Limit.- 10. Thermodynamic Entropy.- 10.a Thermodynamic processes and entropy.- 10.b Properties of the entropy functions.- 10.c Irreversibility and approach to equilibrium.- 11. Measurements, Entropy and Work.- 11.a Observations on the system.- 11.b Information and entropy.- 11.c Exchange of work and heat.- 12. Other Approaches.- Appendix A. Quantum Markov Processes.- A.1 Reduced dynamics.- A.2 Markov processes.- A.3 Non-passivity of Markov processes.- A.4 Non-KMS property of Markov processes.- A.5 Quantum thermal fluctuations.- Appendix B. Sensitivity of Hyperbolic Motion.- References.- Notation Index.

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Book SynopsisIn this revised and enlarged second edition, Tony Guénault provides a clear and refreshingly readable introduction to statistical physics. The treatment itself is self-contained and concentrates on an understanding of the physical ideas, without requiring a high level of mathematical sophistication.Trade ReviewFrom the reviews of the second edition: "This is an introductory level textbook on the basics of statistical physics. … it is an easy-to-read textbook, suited for bachelor students who want to learn the basics of statistical physics by themselves." (Jacques Tempere, Physicalia Magazine, Vol. 30 (4), 2008)Table of ContentsPreface 1: Basic Ideas. 1.1. The Macrostate. 1.2. Microstates. 1.3. The Average Postulate. 1.4. Distributions. 1.5. The Statistical method in Outline. 1.6. A Model Example. 1.7. Statistical Entropy and Microstates. 1.8 Summary. 2: Distinguishable Particles. 2.1. The Thermal Equilibrium Distribution. 2.2. What are a and ß? 2.3. A Statistical Definition of Temperature. 2.4. The Boltzman Distribution and the Partition Function. 2.5. Calculation of Thermodynamic Functions. 2.6. Summary. 3: Two Examples. 3.1. A spin-½ Solid. 3.2. Localized harmonic Oscillators. 3.3. Summary. 4: Gases: The Density of States. 4.1. Fitting waves into boxes. 4.2. Other Information for Statistical Physics. 4.3. An Example – Helium Gas. 4.4. Summary 5: Gases: The Distributions. 5.1. Distribution in groups. 5.2. Identical Particles – Fermions and Bosons. 5.3. Counting Microstates for Gases. 5.4. The Three Distributions. 5.5. Summary. 6: Maxwell-Boltzmann Gases. 6.1. The validity of the Maxwell-Boltzmann Limit. 6.2. The Maxwell-Boltzmann Distribution of Speeds. 6.3. The Connection to Thermodynamics. 6.4. Summary. 7: Diatomic Gases. 7.1. Energy Contributions in Diatomic Gases. 7.2. Heat Capacity of a Diatomic Gas. 7.3. The Heat Capacity of Hydrogen. 7.4. Summary. 8: Fermi-Dirac Gases. 8.1. Properties of an Ideal Fermi-Dirac Gas. 8.2. Application to Metals. 8.3. Application to Helium-3. 8.4. Summary. 9: Bose-Einstein Gases. 9.1. Properties of an Ideal Bose-Einstein Gas. 9.2. Application to Helium-4. 9.3. Phoney Bosons. 9.4. A Note about Cold Atoms. 9.5. Summary. 10: Entropy in Other Situations. 10.1. Entropy and Disorder. 10.2. An Assembly at Fixed Temperature. 10.3. Vacancies in Solids. 11: Phase Transitions. 11.1. Types of Phase Transition. 11.2. Ferromagnetism of a spin-½ Solid. 11.3. Real Ferromagnetic Materials. 11.4. Order-Disorder Transformations in Alloys. 12: Two New Ideas. 12.1. Statistics or Dynamics. 12.2. Ensembles – a LargerView. 13: Chemical Thermodynamics. 13.1. Chemical Potential Revisited. 13.2. The Grand Canonical Ensemble. 13.3. Ideal Gases in the Grand Ensemble. 13.4. Mixed Systems and Chemical Reactions. 14: Dealing with Interactions. 14.1. Electrons in Metals. 14.2. Liquid Helium-3: a Fermi Liquid. 14.3. Liquid Helium-4: a Bose Liquid? 14.4. Real Imperfect Gases. 15: Statistics under Extreme Conditions. 15.1. Superfluid States in Fermi-Dirac Systems. 15.2. Statistics in Astrophysical Systems. Appendix A – Some Elementary Counting Problems Appendix B – Some Problems with Large Numbers Appendix C – Some Useful Integrals Appendix D – Some Useful Constants Appendix E – Exercises Appendix F – Answers to Exercises Index

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Book Synopsisto Turbulence in Fluid Mechanics.- Basic Fluid Dynamics.- Transition to Turbulence.- Shear Flow Turbulence.- Fourier Analysis of Homogeneous Turbulence.- Isotropic Turbulence: Phenomenology and Simulations.- Analytical Theories and Stochastic Models.- Two-Dimensional Turbulence.- Beyond Two-Dimensional Turbulence in GFD.- Statistical Thermodynamics of Turbulence.- Statistical Predictability Theory.- Large-Eddy Simulations.- Towards Real World Turbulence.Trade ReviewFrom the reviews of the fourth edition: "Turbulence in Fluids contains a wealth of information, and its author is a top-tier scientist. … The book is logically ordered and contains a comprehensive list of 738 references. … Lesieur’s monograph is recommended for those who already know quite a bit about turbulence, for the theoretically inclined, and in particular for those interested in homogeneous turbulence and geophysical flows and their numerical simulation." (Mohamed Gad-El-Hak, Siam Review, Vol. 51 (1), 2009)Table of Contentsto Turbulence in Fluid Mechanics.- Basic Fluid Dynamics.- Transition to Turbulence.- Shear Flow Turbulence.- Fourier Analysis of Homogeneous Turbulence.- Isotropic Turbulence: Phenomenology and Simulations.- Analytical Theories and Stochastic Models.- Two-Dimensional Turbulence.- Beyond Two-Dimensional Turbulence in GFD.- Statistical Thermodynamics of Turbulence.- Statistical Predictability Theory.- Large-Eddy Simulations.- Towards “Real World Turbulence”.

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Book SynopsisThis introduction to applied nonlinear dynamics and chaos places emphasis on teaching the techniques and ideas that will enable students to take specific dynamical systems and obtain some quantitative information about their behavior. The new edition has been updated and extended throughout, and contains a detailed glossary of terms. From the reviews: Will serve as one of the most eminent introductions to the geometric theory of dynamical systems. --Monatshefte für MathematikTrade ReviewFrom the reviews of the second edition:"This is a very substantial revision of the author’s original textbook published in 1990. It does not only contain much new material, for instance on invariant manifold theory and normal forms, it has also been restructured. … The presentation is intended for advanced undergraduates … . This second edition … will serve as one of the most eminent introductions to the geometric theory of dynamical systems." (R. Bürger, Monatshefte für Mathematik, Vol. 145 (4), 2005)"This is an extensively rewritten version of the first edition which appeared in 1990, taking into account the many changes in the subject during the intervening time period. … The book is suitable for use as a textbook for graduate courses in applied mathematics or cognate fields. It is written in a readable style, with considerable motivation and many insightful examples. … Overall, the book provides a very accessible, up-to-date and comprehensive introduction to applied dynamical systems." (P.E. Kloeden, ZAMM-Zeitschrift für Angewandte Mathematik und Mechanik, Vol. 85 (1), 2005)"The second edition of this popular text … is an encyclopedic introduction to dynamical systems theory and applications that includes substantial revisions and new material. It should be on the reading list of every student of the subject … . Also, the new organization makes the book more suitable as a textbook that can be used in graduate courses. This book will also be a useful reference for applied scientists … as well as a guide to the literature." (Carmen Chicone, Mathematical Reviews, 2004h)"This volume includes a significant amount of new material. … Each chapter starts with a narrative … and ends with a large collection of excellent exercises. … An extensive bibliography … provide a useful guide for future study. … This is a highly recommended book for advanced undergraduate and first-year graduate students. It contains most of the necessary mathematical tools … to apply the results of the subject to problems in the physical and engineering sciences." (Tibor Krisztin, Acta Scientiarum Mathematicarum, Vol. 75, 2009)“It is certainly one of the most complete introductory textbooks about dynamical systems, though no single book can be really complete. … Some chapters can certainly be used as a course text for a master’s course, but the whole book is to thick for a single course. … a suitable first text for Ph.D. students who want to do research in dynamical systems, and a useful reference work for more experienced people. I definitely enjoyed reading this book and can only recommend it.” (Kurt Lust, Bulletin of the Belgian Mathematical Society, Vol. 15 (1), 2008)Table of ContentsEquilibrium Solutions, Stability, and Linearized Stability * Liapunov Functions * Invariant Manifolds: Linear and Nonlinear Systems * Periodic Orbits * Vector Fields Possessing an Integral * Index Theory * Some General Properties of Vector Fields: Existence, Uniqueness, Differentiability, and Flows * Asymptotic Behavior * The Poincaré-Bendixson Theorem * Poincaré Maps * Conjugacies of Maps, and Varying the Cross-Section * Structural Stability, Genericity, and Transversality * Lagrange's Equations * Hamiltonian Vector Fields * Gradient Vector Fields * Reversible Dynamical Systems * Asymptotically Autonomous Vector Fields * Center Manifolds * Normal Forms * Bifurcation of Fixed Points of Vector Fields * Bifurcations of Fixed Points of Maps * On the Interpretation and Application of Bifurcation Diagrams: A Word of Caution * The Smale Horseshoe * Symbolic Dynamics * The Conley-Moser Conditions or 'How to Prove That a Dynamical System is Chaotic' * Dynamics Near Homoclinic Points of Two-Dimensional Maps * Orbits Homoclinic to Hyperbolic Fixed Points in Three-Dimensional Autonomous Vector Fields * Melnikov's Method for Homoclinic Orbits in Two-Dimensional, Time-Periodic Vector Fields * Liapunov Exponents * Chaos and Strange Attractors * Hyperbolic Invariant Sets: A Chaotic Saddle * Long Period Sinks in Dissipative Systems and Elliptic Islands in Conservative Systems * Global Bifurcations Arising from Local Codimension-Two Bifurcations * Glossary of Frequently Used Terms

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Book SynopsisMeasurements and Uncertainty.- Physical Quantities.- Measurement Units.- Measuring Instruments.- Uncertainty in Direct Measurements.- Probability and Statistics.- Basic Probability Concepts.- Distributions of Random Variables.- Statistical Tools.- Data Analysis.- Uncertainty in Indirect Measurements.- Confidence Levels.- Correlation of Physical Quantities.- The Chi Square Test.- Appendices.- Presentation of Experimental Data.- Systems of Units.- Tables.- Mathematical Complements.- Experiments.Trade ReviewFrom the reviews: "Aiming to fill the gap between tutorial-type resources and specialized treatises, this volume, which has been tested by Fornasini’s students in laboratory courses, offers a very clear, concise didactic approach to evaluating uncertainty. Actual worked examples are noted throughout the text, along with numerous figures depicting representative problems. Fornasini … addresses issues of uncertainty concerning significant digits and rounding, use of instruments, a posteriori evaluations, moments of several probability distributions, and indirect measurements. … Summing Up: Highly recommended. Upper-division undergraduates, researchers, and faculty." (D. J. Gougeon, Choice, Vol. 46 (10), June, 2009) "The aim of this book … is to describe the nature of uncertainty in physical experiments and to provide the useful statistical tools for data analysis. … The present material is mainly addressed to the undergraduate students but could be applied by the researchers … and by the secondary school teachers as well. … we recommend this useful book for wide audience of readers without advanced knowledge of modern Mathematics." (Alexander V. Bulinski, Zentralblatt MATH, Vol. 1163, 2009) “This is a book that arose from the author’s ‘long-lasting teaching experience’ in the Department of Physics of the University of Trento … . the author found a gap between the elementary texts used … and the more sophisticated books written for those with an extensive background in higher mathematics. This book attempts to fill that gap. … helpful to many students and indeed researchers. … many of us involved in radiation dosimetry would find much of help in this volume in our day-to-day work.” (Ralph H. Thomas, Radiation Protection Dosimetry, Vol. 140 (1), 2010)Table of ContentsMeasurements and Uncertainty.- Physical Quantities.- Measurement Units.- Measuring Instruments.- Uncertainty in Direct Measurements.- Probability and Statistics.- Basic Probability Concepts.- Distributions of Random Variables.- Statistical Tools.- Data Analysis.- Uncertainty in Indirect Measurements.- Confidence Levels.- Correlation of Physical Quantities.- The Chi Square Test.- Appendices.- Presentation of Experimental Data.- Systems of Units.- Tables.- Mathematical Complements.- Experiments.

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Book Synopsis0 Review of Optimization in ?d.- Problems.- One Basic Theory.- 1 Standard Optimization Problems.- 2 Linear Spaces and Gâteaux Variations.- 3 Minimization of Convex Functions.- 4 The Lemmas of Lagrange and Du Bois-Reymond.- 5 Local Extrema in Normed Linear Spaces.- 6 The Euler-Lagrange Equations.- Two Advanced Topics.- 7 Piecewise C1 Extremal Functions.- 8 Variational Principles in Mechanics.- 9 Sufficient Conditions for a Minimum.- Three Optimal Control.- 10 Control Problems and Sufficiency Considerations.- 11 Necessary Conditions for Optimality.- A.1. The Intermediate and Mean Value Theorems.- A.2. The Fundamental Theorem of Calculus.- A.3. Partial Integrals: Leibniz' Formula.- A.4. An Open Mapping Theorem.- A.5. Families of Solutions to a System of Differential Equations.- A.6. The Rayleigh Ratio.- Historical References.- Answers to Selected Problems.Table of Contents0 Review of Optimization in ?d.- Problems.- One Basic Theory.- 1 Standard Optimization Problems.- 1.1. Geodesic Problems.- (a) Geodesics in ?d.- (b) Geodesics on a Sphere.- (c) Other Geodesic Problems.- 1.2. Time-of-Transit Problems.- (a) The Brachistochrone.- (b) Steering and Control Problems.- 1.3. Isoperimetric Problems.- 1.4. Surface Area Problems.- (a) Minimal Surface of Revolution.- (b) Minimal Area Problem.- (c) Plateau’s Problem.- 1.5. Summary: Plan of the Text.- Notation: Uses and Abuses.- Problems.- 2 Linear Spaces and Gâteaux Variations.- 2.1. Real Linear Spaces.- 2.2. Functions from Linear Spaces.- 2.3. Fundamentals of Optimization.- Constraints.- Rotating Fluid Column.- 2.4. The Gâteaux Variations.- Problems.- 3 Minimization of Convex Functions.- 3.1. Convex Functions.- 3.2. Convex Integral Functions.- Free End-Point Problems.- 3.3. [Strongly] Convex Functions.- 3.4. Applications.- (a) Geodesics on a Cylinder.- (b) A Brachistochrone.- (c) A Profile of Minimum Drag.- (d) An Economics Problem.- (e) Minimal Area Problem.- 3.5. Minimization with Convex Constraints.- The Hanging Cable.- Optimal Performance.- 3.6. Summary: Minimizing Procedures.- Problems.- 4 The Lemmas of Lagrange and Du Bois-Reymond.- Problems.- 5 Local Extrema in Normed Linear Spaces.- 5.1. Norms for Linear Spaces.- 5.2. Normed Linear Spaces: Convergence and Compactness.- 5.3. Continuity.- 5.4. (Local) Extremal Points.- 5.5. Necessary Conditions: Admissible Directions.- 5.6*. Affine Approximation: The Fréchet Derivative.- Tangency.- 5.7. Extrema with Constraints: Lagrangian Multipliers.- Problems.- 6 The Euler-Lagrange Equations.- 6.1. The First Equation: Stationary Functions.- 6.2. Special Cases of the First Equation.- (a) When f = f(z).- (b) When f = f(x,z).- (c) When f = f(y,z).- 6.3. The Second Equation.- 6.4. Variable End Point Problems: Natural Boundary Conditions.- Jakob Bernoulli’s Brachistochrone.- Transversal Conditions*.- 6.5. Integral Constraints: Lagrangian Multipliers.- 6.6. Integrals Involving Higher Derivatives.- Buckling of a Column under Compressive Load.- 6.7. Vector Valued Stationary Functions.- The Isoperimetric Problem.- Lagrangian Constraints*.- Geodesics on a Surface.- 6.8*. Invariance of Stationarity.- 6.9. Multidimensional Integrals.- Minimal Area Problem.- Natural Boundary Conditions.- Problems.- Two Advanced Topics.- 7 Piecewise C1 Extremal Functions.- 7.1. Piecewise C1 Functions.- (a) Smoothing.- (b) Norms for ?1.- 7.2. Integral Functions on ?1.- 7.3. Extremals in ?1 [a, b]: The Weierstrass-Erdmann Corner Conditions.- A Sturm-Liouville Problem.- 7.4. Minimization Through Convexity.- Internal Constraints.- 7.5. Piecewise C1 Vector-Valued Extremals.- Minimal Surface of Revolution.- Hilbert’s Differentiability Criterion*.- 7.6*. Conditions Necessary for a Local Minimum.- (a) The Weierstrass Condition.- (b) The Legendre Condition.- Bolza’s Problem.- Problems.- 8 Variational Principles in Mechanics.- 8.1. The Action Integral.- 8.2. Hamilton’s Principle: Generalized Coordinates.- Bernoulli’s Principle of Static Equilibrium.- 8.3. The Total Energy.- Spring-Mass-Pendulum System.- 8.4. The Canonical Equations.- 8.5. Integrals of Motion in Special Cases.- Jacobi’s Principle of Least Action.- Symmetry and Invariance.- 8.6. Parametric Equations of Motion.7*. The Hamilton-Jacobi Equation.- 8.8. Saddle Functions and Convexity; Complementary Inequalities.- The Cycloid Is the Brachistochrone.- Dido’s Problem.- 8.9. Continuous Media.- (a) Taut String.- The Nonuniform String.- (b) Stretched Membrane.- Static Equilibrium of (Nonplanar) Membrane.- Problems.- 9 Sufficient Conditions for a Minimum.- 9.1. The Weierstrass Method.- 9.2. [Strict] Convexity of f(x,Y, Z).- 9.3. Fields.- Exact Fields and the Hamilton-Jacobi Equation*.- 9.4. Hilbert’s Invariant Integral.- The Brachistochrone*.- Variable End-Point Problems.- 9.5. Minimization with Constraints.- The Wirtinger Inequality.- 9.6*. Central Fields.- Smooth Minimal Surface of Revolution.- 9.7. Construction of Central Fields with Given Trajectory: The Jacobi Condition.- 9.8. Sufficient Conditions for a Local Minimum.- (a) Pointwise Results.- Hamilton’s Principle.- (b) Trajectory Results.- 9.9*. Necessity of the Jacobi Condition.- 9.10. Concluding Remarks.- Problems.- Three Optimal Control.- 10 Control Problems and Sufficiency Considerations.- 10.1. Mathematical Formulation and Terminology.- 10.2. Sample Problems.- (a) Some Easy Problems.- (b) A Bolza Problem.- (c) Optimal Time of Transit.- (d) A Rocket Propulsion Problem.- (e) A Resource Allocation Problem.- (f) Excitation of an Oscillator.- (g) Time-Optimal Solution by Steepest Descent.- 10.3. Sufficient Conditions Through Convexity.- Linear State-Quadratic Performance Problem.- 10.4. Separate Convexity and the Minimum Principle.- Problems.- 11 Necessary Conditions for Optimality.- 11.1. Necessity of the Minimum Principle.- (a) Effects of Control Variations.- (b) Autonomous Fixed Interval Problems.- Oscillator Energy Problem.- (c) General Control Problems.- 11.2. Linear Time-Optimal Problems.- Problem Statement.- A Free Space Docking Problem.- 11.3. General Lagrangian Constraints.- (a) Control Sets Described by Lagrangian Inequalities.- (b)* Variational Problems with Lagrangian Constraints.- (c) Extensions.- Problems.- A.1. The Intermediate and Mean Value Theorems.- A.2. The Fundamental Theorem of Calculus.- A.3. Partial Integrals: Leibniz’ Formula.- A.4. An Open Mapping Theorem.- A.5. Families of Solutions to a System of Differential Equations.- A.6. The Rayleigh Ratio.- Historical References.- Answers to Selected Problems.

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Book SynopsisRobust Control of Uncertain Dynamic SystemsTrade ReviewFrom the book reviews:“This book is a concise, clear and well-organized masterpiece on robust control theory for linear systems with parameter-uncertainty. … as a textbook for understanding the basic concepts and state-space methodologies about robust control, this book is one of the best ones I have ever read.” (Yun Zou, Mathematical Reviews, November, 2014)Table of ContentsIntroduction and Perspective.- Robust Stability Analysis of Linear State Space Systems.- Performance Robustness Analysis via Root Clustering (Robust D-Stability).- Robust Control Design for Linear Uncertain State Space Systems.- Applications to Engineering Systems.- Related and Emerging Topics.- A Appendix.

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Book SynopsisProceedings volume contains carefully selected papers presented during the 17th IFIP Conference on System Modelling and Optimization.Table of Contents1 On the convergence of a trust region SQP algorithm for nonlinearly constrained optimization problems.- 2 Decomposition and suboptimal control in dynamical systems.- 3 Network flow — theory and applications with practical impact.- 4 The mathematical theory of evidence — a short introduction.- 5 Algebraic methods in control, theory and applications.- 6 One method for robust control of uncertain systems — theory and practice.- 7 Stochastic optimization methods in engineering.- 8 Robust stabilization of nonlinear systems by optimal controllers.- 9 Weighted H2 approximation of transfer functions.- 10 On design of H? optimal controls for uncertain nonlinear systems.- 11 Constrained optimization algorithms and automatic differentiation for parameter estimation with application to granulocytics models.- 12 Expert system for diagnosis of womens’ menstrual cycle using natural family planning method.- 13 Metabolic flux determination by 13-C tracer experiments: analysis of sensitivity, identifiability and redundancy.- 14 Binding-time analysis applied to mathematical algorithms.- 15 Invariant state progress and relation modelling of DEDS.- 16 Remarks on the observability of nonlinear discrete time systems.- 17 Risk-sensitive control and dynamic games: the discrete-time case.- 18 Dynamic portfolio optimization based on reference trajectories.- 19 Stability analysis of time-varying discrete interval systems.- 20 The relaxation theory applied to optimal control problems of semilinear elliptic equations.- 21 On the use of space invariant imbedding to solve optimal control problems for second order elliptic equations.- 22 Semismoothness in parametrized quasi-variational inequalities.- 23 Optimal control problem governed by a semilinear parabolic equation.- 24 Shape optimization of hyperelastic rod.- 25 Dynamic modelling and optimal hierarchical control of a multiple-effect evaporator — superconcentrator plant.- 26 On the use of consistent approximations for the optimal design of beams.- 27 A game-theoretical model for a controlled process of heat transfer.- 28 Constrained predictive control of a counter-current extractor.- 29 Optimal policies under different assumptions about target values: an optimal control analysis for Austria.- 30 Optimal usage of saline and non saline irrigation water; a policy tool.- 31 Fuzzy integer sharing problem with fuzzy capacity constraints.- 32 A fuzzy-PID-concept with minimal rule set.- 33 A numerical procedure for minimizing the maximum cost.- 34 Game of pursuit with zero stop probability.- 35 Solution concepts in multicriteria cooperative games without side payments.- 36 Computer models for maximising tumor cell kill and for minimizing side effects in radiation therapy.- 37 Decision makin& problems: AIDS prevention and energy development.- 38 A mathematical model of HIV infection: the role of CD8+ lymphocytes.- 39 Mathematical modelling of conjugate formation by cytotoxic lymphocytes and tumour cells.- 40 Reliability optimization of complex systems using sharp lower bounds.- 41 Knowledge retrieval for autonomous agents.- 42 Simulation and optimization of complex systems reliability characteristics in grouped data structure.- 43 A modular system of software tools for multicriteria model analysis.- 44 Methodology and modular tool for aspiration-led analysis of LP models.- 45 Interactive multiobjective optimization system NIMBUS applied to nonsmooth structural design problems.- 46 Preliminary computational experience with a descent level method for convex nondifferentiable optimization.- 47 Bundle methods applied to the unit-commitment problem.- 48 Nondifferentiable optimization solver: basic theoretical assumptions.- 49 Discrete approximation of nonlinear control problems.- 50 Convergence of Lagrange—Newton method for control-state and pure state constrained optimal control problems.- 51 Descent methods for optimal periodic hereditary control problems.- 52 Aircraft trajectory optimization using nonlinear programming.- 53 Feedback control of state constrained optimal control problems.- 54 Primal-dual interior point method for multicommodity network flows with side constraints and comparison with alternative methods.- 55 Dual Bregman proximal methods for large-scale 0–1 problems.- 56 On long-step surrogate projection methods for solving convex feasibility problems.- 57 Theoretical and experimental analyis of random linkage algorithms for global optimization.- 58 A dynamic list heuristic for 2D-cutting.- 59 About solving linear integer programs through hermite normal form decomposition.- 60 Software system for solving multi-scale optimization problems.- 61 Dual barrier-projection and barrier-Newton methods in linear programming.- 62 Flow and release optimization in manufacturing systems represented as timed event graphs.- 63 A control model for assembly manufacturing systems.- 64 Numerical experiment on the 2D cutting-stock algorithms based on local optimization.- 65 An algorithm for the transportation problem with given frequencies.- 66 The traveling salesman problem with precedence constraints and binary costs.- 67 Cost oriented competing processes — a new handling of assignment problems.- 68 Modelling and solving of the allocation problem of non-convex polygons with rotations.- 69 Parameters identification of a time-varying stochastic dynamic systems using Viterbi algorithm.- 70 Management of bond portfolios via stochastic programming — postoptimality and sensitivity analysis.- 71 A note on objective functions in multistage stochastic nonlinear programming problems.- 72 Dynamic search for shortest multimodal paths in a transportation network.- 73 Arc routing for rural Irish networks.- 74 Arc routing vehicle routing problems with vehicle/site dependencies.- Index of contributors.- Keyword index.

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Book SynopsisLearn to run your own simulation by working with model analysis, mathematical background, simulation output data, and most importantly, a network simulator for wireless technology. This book introduces the best practices of simulator use, the techniques for analyzing simulations with artificial agents and the integration with other technologies such as Power Line Communications (PLC).Network simulation is a key technique used to test the future behavior of a network. It''s a vital development component for the development of 5G, IoT, wireless sensor networks, and many more. This book explains the scope and evolution of the technology that has led to the development of dynamic systems such as Internet of Things and fog computing. You''ll focus on the ad hoc networks with stochastic behavior and dynamic nature, and the ns-3 simulator. These are useful open source tools for academics, researchers, students and engineers to deploy telTable of ContentsPart I: Simulation BasicsChapter 1: Network Simulation 3Synopsis: The first chapter shows a detailed explanation on simulation, kinds of simulation and the first look at the ns-3 simulator and its formal specification.1.1 Framework1.2 Simulation, models and their importance in research1.2.1 Types of Simulation Techniques1.3 Formal Systems Concepts1.4 Simulation and Emulation1.5 Network Simulators1.6 NS3 Simulator general features1.7 Formal Concepts and NS3Formal Specification1.8 Complementary ReadingsChapter 2: Wireless Networks and Ad hoc NetworksSynopsis: The second chapter shows the evolution on wireless networks and its capabilities on the computing and social systems, explain the new architectures and environments for distributed systems and a particularly case of the ad hoc networks. This chapter introduce theoretical and conceptual the wireless networks.2.1 Connectivity and Mobility Evolution2.2 History of Wireless Communication Technologies2.2.1 Computing Architecture with Wireless Networks2.2.2 Internet of Things (IoT)2.2.3 Fog Computing2.2.4 Edge Computing2.3 Mobile Clouds and Ad hoc Network2.4 Features and challenges of MANETs2.5 Wireless mesh networks and wireless sensor networks2.6 Cooperation in MANETs2.7 Routing Protocols2.7.1 Distance Vector and Link State Routing2.8 Social Clouds2.9 Manet Clusters2.10 Complementary ReadingsChapter 3: Experiment DesignSynopsis: the third chapter shows the steps and the best practices to design a simulation experiment, the assumptions, models and techniques for determine the factors, the experiments and the core of an simulation experiment. Is a theoretical chapter3.1 Design of Simulations Experiments3.2 Factorial designs3.3 Complementary ReadingsPart II: Network SimulatorChapter 4: Network Simulation using NS3Synopsis: The fourth chapter introduces the network simulator 3, his features, computational models, composition and computational structure with examples and detailed explanation of this module, code style and other toolkits useful on ns3 to deploy and run a simulation experiment.4.1 What is NS3?4.2 Relations between Abstractions on NS34.3 Code Style4.4 My First Network4.4.1 Running and Build other scripts4.5 Emulation on NS34.6 Animating the Simulation4.7 Scheduler4.8 Logging and tracing4.8.1 Trace helpers4.8.2 Using Command line Arguments4.9 ExercisesChapter 5: Analyses of ResultsSynopsis: The fifth chapter shows the importance of make a well analysis of results and the experiment outputs ,show the statistical techniques for evaluate the quality of data and how validate and verify if an experiment is successful or not5.1 Output data analysis for a single system5.1.1 Transient and steady state behavior of a stochastic process5.2 The random nature of the simulation output5.3 Types of simulation according to the output analysis5.3.1 Statistical analysis for terminating (or transient) simulations5.3.2 Statistical analysis for steady state parameters5.3.3 The replication deletion approach5.4 Complementary ReadingsPart III: Wireless Network Simulation on NS3Chapter 6: Manet Simulation on NS3Synopsis: The sixth chapter shows a detailed explanation with examples, abstractions descriptions, methods and computation models used to create an ad hoc network on ns-3, the second part of this chapter introduce the Agent based simulation (ABS) for ns-3 on a wireless ad hoc network and the analysis of results with this kind of techniques. The tool used is an application build on ns-3 that allows the use of agents with the simulator6.1 A simple Ad hoc network6.1.1 Wifi Model6.1.2 Node Abstractions6.1.3 Socket abstraction6.1.4 Plot6.1.5 Output6.2 Agent Based Simulation6.2.1 Description of the experiment6.2.2 Abstractions6.2.3 Tracing6.2.4 Run Simulation6.2.5 Analysis of Results6.2.6 Run and Analyze6.2.7 Results6.3 Complementary ReadingsChapter 7: Manets and PLC on NS3Synopsis: The Seventh chapter introduce the integration of wireless networks with other kind of technologies, in this case with the Power line communications PLC and how is possible create new node abstractions on the ns-3 simulator a combine different physical mediums to create a network and share services.7.1 Power Line Communication7.1.1 Fundamental Characteristics of the PLC Channel7.1.2 Deterministic Models of PLC Channel7.2 PLC Software for NS3 Simulation7.3 MANET and PLC Simulation7.4 Complementary ReadingsPart IV: AppendicesXSynopsis: The book includes three appendix: basic statistics, ns-3 installation, and OpenAi Gym framework instalation on ns-3 to allow the Agent Based Simulation (ABS)Appendix A: Basic StatisticsA.1 Random Variables and Random VectorsA.1.1 Random VariablesA.1.2 Probability Density FunctionsA.1.3 Random VectorA.1.4 IndependenceA.1.5 Expected ValueA.1.6 VarianceA.1.7 CovarianceA.1.8 Correlation CoefficientA.1.9 Binomial Random VariableA.1.10 Normal Random VariableA.1.11 Geometric Random VariableA.1.12 Uniform Random VariableAppendix B: NS3 InstallationAppendix C: ns3gym: OpenAI Gym integrationC.1 InstallationIndex

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Book SynopsisIt provides detailed derivations for attitude kinematics and dynamics and provides detailed description of the most widely used attitude parameterization, the quaternion.Trade Review“The present book presents the fundamental concepts and mathematical basis for spacecraft attitude description and control. … Every chapter and appendix contains a rich references. After reading this book, the reader will be convinced that the intended audience for it consists of graduate students, Ph.D. students and scientists with an interest in spacecraft attitude determination and control.” (Clementina Mladenova, zbMATH 1381.70006, 2018)“It is of exceptional quality in both the range of subjects covered and the detail of that coverage. … this book has a lot to offer to those of us involved in the developments and data processing for such projects, describing in detail external forces as well as the effects of non-rigidity. … this is a very worthwhile volume, highly recommended for anyone involved in astronomical or other satellite projects.” (Floor van Leeuwen, The Observatory, Vol. 135 (1246), June, 2015)“This is an excellent book. Markley … and Crassidis (Univ. of Buffalo) have succeeded in creating a work that is a good textbook for both upper-level undergraduate and graduate students as well as practitioners. … book ends with several appendixes that further support the rest of the book and also provide novice practitioners with a good resource to help them understand the more technical and complicated material. … Summing Up: Highly recommended. Aerospace engineering collections serving upper-division undergraduates through professionals/practitioners.” (D. B. Spencer, Choice, Vol. 52 (7), March, 2015)Table of ContentsAttitude Determination and Estimation.- Matrices, Vectors, Frames, Transforms.- Rotational Kinematics and Dynamics.- Sensors and Actuators.- Static Attitude Determination Methods.- Filtering for Attitude Determination.- Attitude Control.

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Book SynopsisThis pioneering text provides a comprehensive introduction to systems structure, function, and modeling as applied in all fields of science and engineering. Systems understanding is increasingly recognized as a key to a more holistic education and greater problem solving skills, and is also reflected in the trend toward interdisciplinary approaches to research on complex phenomena. While the concepts and components of systems science will continue to be distributed throughout the various disciplines, undergraduate degree programs in systems science are also being developed, including at the authors' own institutions. However, the subject is approached, systems science as a basis for understanding the components and drivers of phenomena at all scales should be viewed with the same importance as a traditional liberal arts education. Principles of Systems Science contains many graphs, illustrations, side bars, examples, and problems to enhance understanding. Frombasic principles of orgaTrade Review“Principles of systems science consists of 14 chapters organized in five parts. … This book is a feast--full of systems theory and sage guidance about systems practice.” (Ernest Hughes, Computing Reviews, computingreviews.com, August, 2016)Table of ContentsPart I: Introduction to Systems Science.- A Helicopter View.- Systems Principles in the Real World: Understanding Drug Resistant TB.- Part II: Structural and Functional Aspects.- Organized Wholes.- Networks: Connections Within and Without.- Complexity.- Behavior: System Dynamics.- Part III: The Intangible Aspects of Organization: Maintaining and Adapting.- Information, Meaning, Knowledge, and Communications.- Computational Systems.- Cybernetics: The Role of Information and Computation in Systems.- Part IV: Evolution.- Auto-Organization and Emergence.- Evolution.- Part V: Methodological Aspects.- Systems Analysis.- Systems Modeling.- Systems Engineering.

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Book SynopsisThis book offers a multidisciplinary approach to systems theory, investigating its general principles, mathematical models, and applications in health sciences. It describes how leaders in the field have made a transition from equations and models to dilemmas faced in the real world. This book is meant to simplify our understanding of disparate hierarchical and complex open systems in the world by making us aware of patterns of action among its components. These interactions lead to cascading effects within the system which end up changing it as a whole. This self-organization often leads to unpredictable results transforming the system, or integrating the same, into a still more complex system. These results, not necessarily the ones originally sought by their organizers, may offer the system the best opportunity for sustainable and adaptive growth. In the end, readers of this book will gain a basic understanding of systems theory, its application to natural and manmade processes, and how systems grow and equilibrate with their environment in order to continue functioning.

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Book SynopsisCyberinfrastructure was proposed in a report of the NSF Blue-Ribbon advisory panel in 2003. Cyberinfrastructure will provide a unified environment to access and manage cyber resources, e.g. supercomputers, data archives, software services, scientific instruments and virtual organisations. In this book, the authors review latest research and development and discuss new technologies and applications involved in building Cyberinfrastructure. The purpose of this book is to provide a detailed summary of early experiences, practices and lessons leaned in building Cyberinfrastructure from multiple perspectives: software development and maintenance, resource integration and sharing, cyber environment construction, operation and management, testing and troubleshooting, application enabling, security and QoS ensuring. Consequently, this book can serve as a valuable source of reference and indispensable reading for researchers, educators, engineers, graduate students, and practitioners in the field of design and implementation of Cyberinfrastructure systems.

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Book Synopsis

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Book SynopsisMost IT directors and ITAM (Information Technology Asset Management) team leads learn on the job. ITAM is specialized enough that one cannot pick-up all the nuances without a lot of mistakes and pratfalls. This book, then, will help accelerate the ITAM program, set baselines for proper measures of success, and ensure both business leadership and the ITAM team are speaking the same language. The stakes couldn’t be higher. Worldwide enterprise IT spending estimate is $3.9 trillion USD for 2020, and expected to continue to increase at about 10% per year. However, software publishers estimate they are losing out on an addition $46.3 billion USD yearly revenue due to software piracy and volume license key abuses. To make up these losses, software companies engage in a policy of ‘auditing’ their existing customers to ensure software contract compliance.68% of all US companies can expect to be hit and fined by a software audit in any given 12-month period, with an average fine of $500,000 USD per audit event. Corporate ITAM initiatives keep failing because they are following the wrong methodology. Asset management should be an exercise of epistemology (as opposed to the transactional or accountancy methods most businesses use today). Epistemology is the philosophical study of knowledge: what do you know, and how can you prove it. Pragmatic ITAM will take the reader through a brief review of three Western philosophers: Socrates, Rene Descartes, and Blaise Pascal, and present 7 of their basic tenants on the topic. The next section uses these philosophical tenants to explain the ISO/IEC’s reasoning in building out their best business standards for corporate ITAM teams. The reader can then better interpret the “data lake.”

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Book SynopsisLearn robotics through magic, or enhance your magic with robotics! This book is a beginner's guide to creating robotics-infused magic. You'll be introduced to simple DIY electronics and Arduino programming, and you will learn how to use those tools to create a treasure trove of magic bots and effects, with readily-sourced materials and everyday objects. It's magic through the lens of the Maker Movement, with a dedication to accessibility -- cardboard meets Arduino meets magic! All ages, backgrounds, and abilities will find clever, fun projects within these pages that challenge their creativity and explode their imagination.

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Book SynopsisThis Special Issue of Cybernetics and Human Knowing contains rare material related to G. Spencer-Brown''s book Laws of Form and its contents.In 1973 there was a conference at Big Sur at which Spencer-Brown discussed his calculus with a group of scientists. This was the AUM Conference at Esalen, and the scientists consisted in an assortment of remarkable individuals exploring the cutting edge of human consciousness and culture, including Alan Watts, Ram Dass, John Lilly, Heinz von Foerster, Kurt von Meier, and others. One of the participants, Walter Barney, has written about this conference and has long been a keeper of the transcripts of Spencer-Brown's talks. In this issue we print Barney's transcripts of the conference and an article by Walter Barney and Kurt von Meier reflecting on the AUM conference. The transcripts are a remarkable amalgam of the thinking of Spencer-Brown and the questions and comments of the participants in AUM. The transcripts carry the same lucidity that infuses Laws of Form.The other articles in this issue include a paper on Flagg Resolution by James Flagg and Louis Kauffman, a paper on Paper Computers and the Emergence of Fermions by Louis Kauffman, and a Virtual Logic Column by Louis Kauffman that is a new take on the Barber paradox and the Russell Paradox, based on satire, mirrors, and the key observation of Douglas Harding that no person can (in the absence of mirrors) perceive his or her own head. There is an American Society for Cybernetics Column by Zane Gillespie about the structure of implausibility in music, art, and cybernetics.

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Book SynopsisIn bringing cybernetic insights to her work as a cultural anthropologist, Mary Catherine Bateson inspired new ways of thinking about contemporary global challenges. This collection of essays from authors representing a range of disciplines from anthropology to design to creativity and spirituality, as well as transdisciplinary perspectives that are at the heart of cybernetics, honours Mary Catherine''s life and work. Just as Mary Catherine found resonance in the metaphor of composing as a creative process that unfolds over time in response to ever-changing contingencies, these essays bring forth and build upon the many themes from her work, such as interdependence, reflexivity, continuity/discontinuity, and cybernetics as a living process, recombining them in new ways to offer novel insights.

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Book SynopsisSystems Ultra explores how we experience complex systems: the mesh of things, people, and ideas interacting to produce their own patterns and behaviours.What does it mean when a car which runs on code drives dangerously? What does massmarket graphics software tell us about the workplace politics of architects? And, in these human-made systems, which phenomena are designed, and which are emergent? In a world of networked technologies, global supply chains, and supranational regulations, there are growing calls for a new kind of literacy around systems and their ramifications. At the same time, we are often told these systems are impossible to fully comprehend and are far beyond our control.Drawing on field research and artistic practice around the industrial settings of ports, air traffic control, architectural software, payment platforms in adult entertainment, and car crash testing, Georgina Voss argues that complex systems can be approached as sites of revelation around scale, time, materiality, deviance, and breakages. With humour and guile, she tells the story of what 'systems' have come to mean, how they have been sold to us, and the real-world consequences of the power that flows through them.Systems Ultra goes beyond narratives of technological exceptionalism to explore how we experience the complex systems which influence our lives, how to understand them more clearly, and, perhaps, how to change them.Trade ReviewGeorgina Voss thoughtfully explores the dizzying operations and implications of the vast machineries that dominate contemporary life, without ever losing sight of their everyday physicality: their meat and flesh, silicon and steel. A brilliant and hugely enjoyable read. -- James Bridle, author of Ways of BeingWith an ethnographer's eye, a comedian's wit, and a travel guide's sense of adventure, Georgina Voss steers us through the docks and control rooms, the convention halls and design studios, the interfaces and archives from which we can glimpse the global systems that constitute and actuate our contemporary world. Along the way, we gather a set of critical tools for looking at, listening to, mapping, diagramming, scaling, sensing, and feeling our place within these sublime structures - not merely to understand them, but also to equip ourselves to resist, break, hack, and hustle when things need to change. -- Shannon Mattern, author of The City Is Not A ComputerStep inside this book and suddenly, you've got a golden ticket to a Willy Wonka wonderland where everything is connected to everything else. You'll never see systems - of any kind - the same way again -- Fred Turner, Harry & Norman Chandler Professor of Communication, Stanford UniversityUnpacks the hidden complexities of the way we live today, and shows why it is essential for us to understand their means and characteristics. From the networks that control payments systems, vast global shipping routes as well as the ways our cities are designed, she explores their history and why they matter. Too often, we only realise these extraordinary powers that dictate our everyday lives when they go wrong, this is an essential manual to modern life. -- Bruce Schneier, author of A Hacker's Mind: How the Rich and Powerful Bend Society's Rules, and How to Bend Them BackIt can be surprisingly hard to articulate what a "system" actually is, but thank goodness we have Georgina Voss whose humorous and thought-provoking book vibrantly unpacks the nuances of systems and system thinking. As we follow her through a gargantuan electronics fair in Vegas, one of the largest shipping container ports in Rotterdam, a slick makerspace in Silicon Valley, and a pornography industry trade show, Voss draws on her unusual expertise as both creative practitioner and a researcher to distill what a systems worldview does, what it overlooks and where it breaks. -- Tega Brain, author of Code as Creative MediumTable of Contents1. Systems2. Scale3. Legacy4. Matter5. Deviance6. Breakage

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Book SynopsisThis special double issue of Cybernetics and Human Knowing is comprised of a collection of papers devoted to the cybernetics and mathematics of Charles Sanders Peirce with a special focus on its synergies with George Spencer-Brown''s thinking. Peirce was a truly original American philosopher and logician working in the late 1800s and early 1900s; Spencer-Brown is an English polymath, best known as the author of Laws of Form. The contributions reflect the extraordinary richness of Peirce''s work and his relevance to present concerns in cybernetics. The similarities in the focus on some of the deep foundational subjects are astonishing, amongst those especially the concept of the void or Firstness and the continuity of mind and matter.

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Book SynopsisThe guiding idea behind this collection of papers is a presentation of the transdisciplinary scope of the new semiotics offering a deeper and broader framework than the structuralist semiology that has been the foundation of most European semiotic analyses of culture, texts and languages.

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Book SynopsisThe topic of the reduction of mental processes to biophysical mechanisms touches at the core of the mindbody problem, a puzzle in the philosophy of mind since the days of Descartes. This book is about philosophical aspects of neuroscience, centred on perspective dualism. The topic unfolds in the discussion of mechanisms in world and mind. Neuronal mechanisms of differing complexity are described in a general way. It is shown how models of such mechanisms may be classified and assigned to levels of systems theory. Reduction strategies are applied to processes of life, mind, and consciousness. The aim is physicalistic, to explore if and how the mental may be understood in terms of biophysics and its mechanisms.

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Book SynopsisThis book includes selected contributions by lecturers at the third annual Formation d’Automatique de Paris. It provides a well-integrated synthesis of the latest thinking in nonlinear optimal control, observer design, stability analysis and structural properties of linear systems, without the need for an exhaustive literature review. The internationally known contributors to this volume represent many of the most reputable control centers in Europe.Table of ContentsIntroduction to Nonlinear Optimal Control.- Observer Design for Nonlinear Systems.- Sampled-data Control of Nonlinear Systems.- Stability Analysis of Time-delay Systems: A Lyapunov Approach.- Controllability of Partial Differential Equations.- Stability: Told by Its Developers.- Structural Properties of Linear Systems Part II: Structure at Infintiy: Appendix: On the Literature's Two Different Definitions of Uniform Global Asymptotic Stability for Nonlinear Systems.

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Book SynopsisIf a butterfly flaps its wings in Brazil, does it cause a tornado in Texas? Chaos theory attempts to answer such baffling questions. The discovery of randomness in apparently predictable physical systems has evolved into a science that declares the universe to be far more unpredictable than we have ever imagined. Introducing Chaos explains how chaos makes its presence felt in events from the fluctuation of animal populations to the ups and downs of the stock market. It also examines the roots of chaos in modern maths and physics, and explores the relationship between chaos and complexity, the unifying theory which suggests that all complex systems evolve from a few simple rules. This is an accessible introduction to an astonishing and controversial theory.Trade Review'A beautifully succinct primer... highly recommended' -- Time Out

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Book SynopsisThe second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.Trade ReviewFrom the reviews of the second edition: "This text is an introduction to model predictive control, a control methodology which has encountered some success in industry, but which still presents many theoretical challenges. … The book is of interest as an introduction to model predictive control, and a merit is the special presentation, connecting the subject intimately with industrial situations." (A. Akutowicz, Zentralblatt MATH, Vol. 1080, 2006) "It is a much more ambitious work, seeking to inform practitioners how to implement MPC while at the same time serving as an advanced student text as well as reference for control researchers. … The authors clearly see the text as a teaching aid since several chapters include exercises. … In summary, a significant contribution to this important field for control academics, and some highly experienced MPC practitioners … ." (Michael Brisk, www.tcetoday.com, February, 2008)Table of Contents1 Introduction to Model Predictive Control.- 1.1 MPC Strategy.- 1.2 Historical Perspective.- 1.3 Industrial Technology.- 1.4 Outline of the Chapters.- 2 Model Predictive Controllers.- 2.1 MPC Elements.- 2.1.1 Prediction Model.- 2.1.2 Objective Function.- 2.1.3 Obtaining the Control Law.- 2.2 Review of Some MPC Algorithms.- 2.3 State Space Formulation.- 3 Commercial Model Predictive Control Schemes.- 3.1 Dynamic Matrix Control.- 3.1.1 Prediction.- 3.1.2 Measurable Disturbances.- 3.1.3 Control Algorithm.- 3.2 Model Algorithmic Control.- 3.2.1 Process Model and Prediction.- 3.2.2 Control Law.- 3.3 Predictive Functional Control.- 3.3.1 Formulation.- 3.4 Case Study: A Water Heater.- 3.5 Exercises.- 4 Generalized Predictive Control.- 4.1 Introduction.- 4.2 Formulation of Generalized Predictive Control.- 4.3 The Coloured Noise Case.- 4.4 An Example.- 4.5 Closed-Loop Relationships.- 4.6 The Role of the T Polynomial.- 4.6.1 Selection of the T Polynomial.- 4.6.2 Relationships with Other Formulations.- 4.7 The P Polynomial.- 4.8 Consideration of Measurable Disturbances.- 4.9 Use of a Different Predictor in GPC.- 4.9.1 Equivalent Structure.- 4.9.2 A Comparative Example.- 4.10 Constrained Receding Horizon Predictive Control.- 4.10.1 Computation of the Control Law.- 4.10.2 Properties.- 4.11 Stable GPC.- 4.11.1 Formulation of the Control Law.- 4.12 Exercises.- 5 Simple Implementation of GPC for Industrial Processes.- 5.1 Plant Model.- 5.1.1 Plant Identification: The Reaction Curve Method.- 5.2 The Dead Time Multiple of the Sampling Time Case.- 5.2.1 Discrete Plant Model.- 5.2.2 Problem Formulation.- 5.2.3 Computation of the Controller Parameters.- 5.2.4 Role of the Control-weighting Factor.- 5.2.5 Implementation Algorithm.- 5.2.6 An Implementation Example.- 5.3 The Dead Time Nonmultiple of the Sampling Time Case.- 5.3.1 Discrete Model of the Plant.- 5.3.2 Controller Parameters.- 5.3.3 Example.- 5.4 Integrating Processes.- 5.4.1 Derivation of the Control Law.- 5.4.2 Controller Parameters.- 5.4.3 Example.- 5.5 Consideration of Ramp Setpoints.- 5.5.1 Example.- 5.6 Comparison with Standard GPC.- 5.7 Stability Robustness Analysis.- 5.7.1 Structured Uncertainties.- 5.7.2 Unstructured Uncertainties.- 5.7.3 General Comments.- 5.8 Composition Control in an Evaporator.- 5.8.1 Description of the Process.- 5.8.2 Obtaining the Linear Model.- 5.8.3 Controller Design.- 5.8.4 Results.- 5.9 Exercises.- 6 Multivariable Model Predictive Control.- 6.1 Derivation of Multivariable GPC.- 6.1.1 White Noise Case.- 6.1.2 Coloured Noise Case.- 6.1.3 Measurable Disturbances.- 6.2 Obtaining a Matrix Fraction Description.- 6.2.1 Transfer Matrix Representation.- 6.2.2 Parametric Identification.- 6.3 State Space Formulation.- 6.3.1 Matrix Fraction and State Space Equivalences.- 6.4 Case Study: Flight Control.- 6.5 Convolution Models Formulation.- 6.6 Case Study: Chemical Reactor.- 6.6.1 Plant Description.- 6.6.2 Obtaining the Plant Model.- 6.6.3 Control Law.- 6.6.4 Simulation Results.- 6.7 Dead Time Problems.- 6.8 Case Study: Distillation Column.- 6.9 Multivariable MPC and Transmission Zeros.- 6.9.1 Simulation Example.- 6.9.2 Tuning MPC for Processes with OUD Zeros.- 6.10 Exercises.- 7 Constrained Model Predictive Control.- 7.1 Constraints and MPC.- 7.1.1 Constraint General Form.- 7.1.2 Illustrative Examples.- 7.2 Constraints and Optimization.- 7.3 Revision of Main Quadratic Programming Algorithms.- 7.3.1 The Active Set Methods.- 7.3.2 Feasible Direction Methods.- 7.3.3 Initial Feasible Point.- 7.3.4 Pivoting Methods.- 7.4 Constraints Handling.- 7.4.1 Slew Rate Constraints.- 7.4.2 Amplitude Constraints.- 7.4.3 Output Constraints.- 7.4.4 Constraint Reduction.- 7.5 1-norm.- 7.6 Case Study: A Compressor.- 7.7 Constraint Management.- 7.7.1 Feasibility.- 7.7.2 Techniques for Improving Feasibility.- 7.8 Constrained MPC and Stability.- 7.9 Multiobjective MPC.- 7.9.1 Priorization of Objectives.- 7.10 Exercises.- 8 Robust Model Predictive Control.- 8.1 Process Models and Uncertainties.- 8.1.1 Truncated Impulse Response Uncertainties.- 8.1.2 Matrix Fraction Description Uncertainties.- 8.1.3 Global Uncertainties.- 8.2 Objective Functions.- 8.2.1 Quadratic Cost Function.- 8.2.2 ?-? norm.- 8.2.3 1-norm.- 8.3 Robustness by Imposing Constraints.- 8.4 Constraint Handling.- 8.5 Illustrative Examples.- 8.5.1 Bounds on the Output.- 8.5.2 Uncertainties in the Gain.- 8.6 Robust MPC and Linear Matrix Inequalities.- 8.7 Closed-Loop Predictions.- 8.7.1 An Illustrative Example.- 8.7.2 Increasing the Number of Decision Variables.- 8.7.3 Dynamic Programming Approach.- 8.7.4 Linear Feedback.- 8.7.5 An Illustrative Example.- 8.8 Exercises.- 9 Nonlinear Model Predictive Control.- 9.1 Nonlinear MPC Versus Linear MPC.- 9.2 Nonlinear Models.- 9.2.1 Empirical Models.- 9.2.2 Fundamental Models.- 9.2.3 Grey-box Models.- 9.2.4 Modelling Example.- 9.3 Solution of the NMPC Problem.- 9.3.1 Problem Formulation.- 9.3.2 Solution.- 9.4 Techniques for Nonlinear Predictive Control.- 9.4.1 Extended Linear MPC.- 9.4.2 Local Models.- 9.4.3 Suboptimal NPMC.- 9.4.4 Use of Short Horizons.- 9.4.5 Decomposition of the Control Sequence.- 9.4.6 Feedback Linearization.- 9.4.7 MPC Based on Volterra Models.- 9.4.8 Neural Networks.- 9.4.9 Commercial Products.- 9.5 Stability and Nonlinear MPC.- 9.6 Case Study: pH Neutralization Process.- 9.6.1 Process Model.- 9.6.2 Results.- 9.7 Exercises.- 10 Model Predictive Control and Hybrid Systems.- 10.1 Hybrid System Modelling.- 10.2 Example: A Jacket Cooled Batch Reactor.- 10.2.1 Mixed Logical Dynamical Systems.- 10.2.2 Example.- 10.3 Model Predictive Control of MLD Systems.- 10.3.1 Branch and Bound Mixed Integer Programming.- 10.3.2 An Illustrative Example.- 10.4 Piecewise Affine Systems.- 10.4.1 Example: Tankwith Different Area Sections.- 10.4.2 Reach Set, Controllable Set, and STG Algorithm.- 10.5 Exercises.- 11 Fast Methods for Implementing Model Predictive Control.- 11.1 Piecewise Affinity of MPC.- 11.2 MPC and Multiparametric Programming.- 11.3 Piecewise Implementation of MPC.- 11.3.1 Illustrative Example: The Double Integrator.- 11.3.2 Nonconstant References and Measurable Disturbances.- 11.3.3 Example.- 11.3.4 The 1-norm and ?-norm Cases.- 11.4 Fast Implementation of MPC forUncertain Systems.- 11.4.1 Example.- 11.4.2 The Closed-Loop Min-max MPC.- 11.5 Approximated Implementation for MPC.- 11.6 Fast Implementation of MPC and Dead Time Considerations.- 11.7 Exercises.- 12 Applications.- 12.1 Solar Power Plant.- 12.1.1 Selftuning GPC Control Strategy.- 12.1.2 Gain Scheduling Generalized Predictive Control.- 12.2 Pilot Plant.- 12.2.1 Plant Description.- 12.2.2 Plant Control.- 12.2.3 Flow Control.- 12.2.4 Temperature Control at the Exchanger Output.- 12.2.5 Temperature Control in the Tank.- 12.2.6 Level Control.- 12.2.7 Remarks.- 12.3 Model Predictive Control in a Sugar Refinery.- 12.4 Olive Oil Mill.- 12.4.1 Plant Description.- 12.4.2 Process Modelling and Validation.- 12.4.3 Controller Synthesis.- 12.4.4 Experimental Results.- 12.5 Mobile Robot.- 12.5.1 Problem Definition.- 12.5.2 Prediction Model.- 12.5.3 Parametrization of the Desired Path.- 12.5.4 Potential Function for Considering Fixed Obstacles.- 12.5.5 The Neural Network Approach.- 12.5.6 Training Phase.- 12.5.7 Results.- A Revision of the Simplex Method.- A.1 Equality Constraints.- A.2 Finding an Initial Solution.- A.3 Inequality Constraints.- B Dynamic Programming and Linear Quadratic Optimal Control.- B.1 LinearQuadratic Problem.- B.2 InfiniteHorizon.- References.

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Book Synopsis"Advanced Topics in Control Systems Theory" contains selected contributions written by lecturers at the second (annual) Formation d’Automatique de Paris (FAP) (Graduate Control School in Paris). It is addressed to graduate students and researchers in control theory with topics touching on a variety of areas of interest to the control community such as cascaded systems, flatness, optimal control, and Hamiltonian and infinite-dimensional systems. The reader is provided with a well-integrated synthesis of the latest thinking in these subjects without the need for an exhaustive literature review. "Advanced Topics in Control Systems Theory" can be used to support either a one-term general advanced course on nonlinear control theory, devoting a few lectures to each chapter, or for more focused and intensive courses at graduate level. The book’s concise but pedagogical manner will give an ideal start to researchers wishing to broaden their knowledge in aspects of modern control theory outside their own expertise.Table of ContentsNonlinear Adaptive Stabilization via System Immersion: Control Design and ApplicationsCascaded Nonlinear Time-varying Systems: Analysis and DesignControl of Mechanical Systems from Aerospace EngineeringCompositional Modelling of Distributed-parameter SystemsAlgebraic Analysis of Control Systems Defined by Partial Differential EquationsStructural Properties of Discrete and Continuous Linear Time-varying Systems: A Unified Approach.

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Book SynopsisA guide and exploration for newcomers and experienced Systems Thinkers alike. In Thinking Systems Robin Asby explores Systems Thinking from a process perspective and shows how this perspective generates new insights, particularly into the problems that we face in the stewardship of our planet. It explains how a process-based approach allows us to think differently and how it can be widely applied. Part 1 introduces Systems Thinking and the systemic process modelling of learning and managing. This is an up-to-date and accessible introduction for anyone interested in the theory and practice of Systems Thinking. Part 2 describes the effect of applying Systems Thinking in two key areas where problems of understanding exist: government and Quantum Mechanics. Whilst these two are far apart in the academic world, in each case surprising insights result from the systemic process approach.Trade Review"Stafford Beer commented 'I wish people would read my books'. I do hope people will read this one. Rooted in the timeline of his developing thinking, Robin Asby introduces and explains core concepts in systems thinking, cybernetics and, in particular the Viable System Model to great effect. He elaborates that model, its conception and rationale elegantly and with great clarity. The ideas of this book are challenging to conventional thinking, the language as complex as is necessary but not more so, and the philosophical shift required to realise the benefits is well indicated. For those new to the subject Robin offers an accessible, clearly articulated and well executed introduction to thinking in the field. For those familiar with the core material he offers a range of insights which create scope for conversation and the potential to provoke discussion and debate. It is rare to find such scope in one book! This work deserves shelf space from all those serious about exploring the world through the lens of cybernetics. Dr. John Beckford, President, The Cybernetics Society and Visiting Professor at University College London and Loughborough University, UKTable of ContentsPreface Part 1: The Journey 1. Sketching the Route 2. Modelling 3. Understanding system, process and relationship 4. Holding Steady: Structure 5. Holding Steady: Control and Coherence 6. Changing with the Flow: Learning 7. Recognising the Importance of Perspective Part 2: Applying the Approach 8. Modelling Governing 9. Modelling Quantum Systems 10. Looking Back Index

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Book SynopsisThis book contains all refereed papers accepted during the ninth edition of the conference that took place at the Cité Internationale Universitaire de Paris on December 18-19, 2018.Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between forum in Paris dedicated to academic researchers & industrial actors working on complex industrial systems architecture, modeling & engineering.These proceedings cover the most recent trends in the emerging field of Complex Systems, both from an academic and a professional perspective. A special focus is put on “Products & services development in a digital world”. The CSD&M Paris 2018 conference is organized under the guidance of CESAM Community (http://cesam.community/en). CESAM Community has been developed since 2010 by the non-profit organization CESAMES Association to organize the sharing of good practices in Enterprise and Systems Architecture and to certify the level of knowledge and proficiency in this field through CESAM certification.

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Book SynopsisRecent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.Trade Review“This handbook is designed for a wide audience. It is an excellent reference for graduate students, researchers, and practitioners in the field of control systems and numerical optimization who want to understand the potential, challenges, and benefits of MPC and its applications. … This handbook enables the reader to gain a panoramic viewpoint of MPC theory and practice as well as provides a state-of-the-art overview of new and exciting areas of application at the forefront of MPC research.” (Gabriele Pannocchia, IEEE Control Systems Magazine, Vol. 40 (5), October, 2020)Table of ContentsTheory.- The Essentials of Model Predictive Control (MPC).- Dynamic Programming and MPC.- Set-valued and Lyapunov Methods for MPC.- Stochastic Model Predictive Control.- Moving Horizon Estimation.- Probing and Duality in Stochastic Model Predictive Control.- Economic Model Predictive Control: Some Design Tools and Analysis Techniques.- Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective.- Hybrid Model Predictive Control.- Model Predictive Control of Polynomial Systems.- Distributed MPC for Large-Scale Systems.- Scalable MPC Design.- Computations.- Efficient Convex Optimization for Linear MPC.- Implicit Non-Convex Model Predictive Control.- Convexification and Real-Time Optimization for MPC with Aerospace Applications.- Explicit (Offline) Optimization for MPC.- Real-Time Implementation of Explicit Model Predictive Control.- Robust Optimization for MPC.- Scenario Optimization for MPC.- Nonlinear Programming Formulations for Nonlinear and Economic Model Predictive Control.- Applications.- Automotive Applications of Model Predictive Control.- Applications of MPC in the Area of Health Care.- Model Predictive Control for Power Electronics Applications.- Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots.- Applications of MPC to Building HVAC Systems.- Toward Multi-Layered MPC for Complex Electric Energy Systems.- Applications of MPC to Finance.

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Book SynopsisThis book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control. Many aspects which are not easily found in a single text are provided, such as connections between control theory and mathematical finance, as well as differential games.The book is self-contained and prioritizes concepts rather than full rigor, targeting scientists who want to use control theory in their research in applied mathematics, engineering, economics, and management science. Examples and exercises are included throughout, which will be useful for PhD courses and graduate courses in general.Dr. Alain Bensoussan is Lars Magnus Ericsson Chair at UT Dallas and Director of the International Center for Decision and Risk Analysis which develops risk management research as it pertains to large-investment industrial projects that involve new technologies, applications and markets. He is also Chair Professor at City University Hong Kong.Trade Review“This book is a great resource for graduate students and those who want to learn and understand stochastic control theory. It is also a great read for experts who want to gain a broader overview of the subject and wish to see connections between different techniques. … this is an excellent book and a great complement to the current offering in stochastic control.” (Jan Palczewski, SIAM Review, Vol. 62 (1), 2020)Table of ContentsIntroduction.- State Representation of Linear Dynamical Systems.- Optimal Control of Linear Dynamical Systems.- Estimation Theory.- Further Techniques of Estimation.- Compliments on Probability Theory.- Filtering Theory in Continuous Time.- Stochastic Control of Linear Dynamic Systems with Full Information.- Stochastic Control of Linear Dynamical Systems with Partial Information.- Deterministic Optimal Control.- Stochastic Optimal Control.- Additional Results for BSDE.- Stochastic Control Problems in Finance.- Stochastic Control for Non-Markov Processes.- Principal Agent Control Problems.- Differential Games.- Stackelberg Differential Games.- Target Problems.

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Book SynopsisThis translation brings a landmark systems engineering (SE) book to English-speaking audiences for the first time since its original publication in 1972. For decades the SE concept championed by this book has helped engineers solve a wide variety of issues by emphasizing a top-down approach. Moving from the general to the specific, this SE concept has situated itself as uniquely appealing to both highly trained experts and anybody managing a complex project. Until now, this SE concept has only been available to German speakers. By shedding the overtly technical approach adopted by many other SE methods, this book can be used as a problem-solving guide in a great variety of disciplines, engineering and otherwise.By segmenting the book into separate parts that build upon each other, the SE concept’s accessibility is reinforced. The basic principles of SE, problem solving, and systems design are helpfully introduced in the first three parts. Once the fundamentals are presented, specific case studies are covered in the fourth part to display potential applications. Then part five offers further suggestions on how to effectively practice SE principles; for example, it not only points out frequent stumbling blocks, but also the specific points at which they may appear. In the final part, a wealth of different methods and tools, such as optimization techniques, are given to help maximize the potential use of this SE concept.Engineers and engineering students from all disciplines will find this book extremely helpful in solving complex problems. Because of its practicable lessons in problem-solving, any professional facing a complex project will also find much to learn from this volume.Table of ContentsPart I- SE-Principles.- Chapter 1- Systems Thinking.- Chapter 2- Process models: SE and others.- Part II- The Problem Solving Process.- Chapter 3- System Design.- Chapter 4- Project Management.- Part III- Systems Design.- Chapter 5- Systems Architecting.- Chapter 6- Concept Development.-Part IV- Case Studies.- Chapter 7- SE Basics.- Chapter 8- Study 1: Private House Building - Additional domicile.- Chapter 9- Case Study 2: Airport Planning.- Chapter 10- Case Study 3: Smart City, Science Tower.- Part V- SE for Practice.- Chapter 11- Seven Basic Recommendations.- Chapter 12- Typical Weak Areas in Projects (Stumbling Blocks).- Chapter 13- Activities Checklists.- Chapter 14- Characteristics of Successful Project Management.- Part VI- Methods and Tools.- Chapter 15- Survey of Methods and Tools (M&T).- Chapter 16- Encyclopedia/Glossary.- Part VII- Appendix.- Chapter 17- Answers: Self-check of knowledge and comprehension.- Chapter 18- List of Figures.- Chapter 19- Bibliography.- Chapter 20- Index.- Chapter 21- Authors Addresses.

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Book SynopsisThis volume provides a comprehensive review of multiple-scale dynamical systems. Mathematical models of such multiple-scale systems are considered singular perturbation problems, and this volume focuses on the geometric approach known as Geometric Singular Perturbation Theory (GSPT). It is the first of its kind that introduces the GSPT in a coordinate-independent manner. This is motivated by specific examples of biochemical reaction networks, electronic circuit and mechanic oscillator models and advection-reaction-diffusion models, all with an inherent non-uniform scale splitting, which identifies these examples as singular perturbation problems beyond the standard form. The contents cover a general framework for this GSPT beyond the standard form including canard theory, concrete applications, and instructive qualitative models. It contains many illustrations and key pointers to the existing literature. The target audience are senior undergraduates, graduate students and researchers interested in using the GSPT toolbox in nonlinear science, either from a theoretical or an application point of view. Martin Wechselberger is Professor at the School of Mathematics & Statistics, University of Sydney, Australia. He received the J.D. Crawford Prize in 2017 by the Society for Industrial and Applied Mathematics (SIAM) for achievements in the field of dynamical systems with multiple time-scales.Table of ContentsIntroduction.- Motivating examples.- A coordinate-independent setup for GSPT.- Loss of normal hyperbolicity.- Relaxation oscillations in the general setting.- Pseudo singularities & canards.- What we did not discuss.

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Book SynopsisThis book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms. Table of Contents1. An Introduction: New Trends in Computing2. Numerical Computing3. Parallel Computing: OpenMP, MPI, and CUDA4. Deep Learning and Cognitive computing: Pillars and Ladders5. Approximate Computing: Towards Ultra Low Power Systems Design6. Near-Memory/In-Memory Computing: Pillars and Ladders7. Quantum Computing and DNA Computing: Beyond Conventional Approaches8. Cloud, Fog and Edge Computing9. Reconfigurable and Heterogeneous Computing10. ConclusionIndex

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Book SynopsisThis book describes a set of SystemC‐based virtual prototype analysis methodologies, including design understanding, verification, security validation, and design space exploration. Readers will gain an overview of the latest research results in the field of Electronic Design Automation (EDA) at the Electronic System Level (ESL). The methodologies discussed enable readers to tackle easily key tasks and applications in the design process.Table of ContentsChapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Design Understanding Methodology.- Chapter 4. Application I: Verification.- Chapter 5. Application II: Security Validation.- Chapter 6. Application III: Design Space Exploration.- Chapter 7. Conclusion.

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Book SynopsisThis book is intended for specialists in systems engineering interested in new, general techniques and for students and practitioners interested in using these techniques for solving specific practical problems. For many real-world, complex systems, it is possible to create easy-to-compute explicit analytical models instead of time-consuming computer simulations. Usually, however, analytical models are designed on a case-by-case basis, and there is a scarcity of general techniques for designing such easy-to-compute models. This book fills this gap by providing general recommendations for using analytical techniques in all stages of system design, implementation, testing, and monitoring. It also illustrates these recommendations using applications in various domains, such as more traditional engineering systems, biological systems (e.g., systems for cattle management), and medical and social-related systems (e.g., recommender systems).Table of Contents​Formulation of the Problem.- Analytical Techniques for Describing User Preferences: 80/20 Rule Partially Explains 7 Plus Minus 2 Law.- Analytical Techniques Help Enhance the Results of Data Mining: Case Study of Cow Insemination.- Case When Analytical Techniques Invalidate the Conclusions of Data Mining: Reversed Flynn Effect of Decreasing IQ Test Scores.- Analytical Techniques for Taking into Account Several Aspects of a Designed Systems: Case Study of Computation-Communication Tradeoff.- Analytical Techniques for Testing: Optimal Distribution of Testing Resources Between Different System Levels.- Index.

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