Cybernetics and systems theory Books

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  • Springer Nonlinear Model Predictive Control Theory and Algorithms Communications and Control Engineering

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    £132.99

  • Springer Stability and Stabilization of Nonlinear Systems Communications and Control Engineering

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  • Springer Vulnerable Systems

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  • Springer Domain of Attraction Analysis and Control via SOS Programming

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  • John Wiley & Sons Memory Systems and Pipelined Processors

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  • ISCE Publishing Reframing Complexity

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  • Isce Publishing New Ethics Proved in Geometrical Order

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  • Isce Publishing Moving Forward with Complexity

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  • Strong Voices Publishing Homeokinetics The Basics 1 Science

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  • Legare Street Press Annual Report of the Board of Park Commissioners

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  • Creative Media Partners, LLC SelfOrganizing Systems 1963

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  • Creative Media Partners, LLC SelfOrganizing Systems 1963

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  • Creative Media Partners, LLC Living Military System on the Verge of Annihilation

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  • Creative Media Partners, LLC Systems Approach to Urban Operations

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  • Creative Media Partners, LLC Systems Approach to Urban Operations

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  • Little, Brown & Company Simplexity

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    £27.20

  • Springer NonEquilibrium Entropy and Irreversibility Mathematical Physics Studies 5

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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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    £94.99

  • Springer Statistical Physics

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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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    £54.99

  • Springer Turbulence in Fluids 84 Fluid Mechanics and Its Applications

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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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  • Springer The Uncertainty in Physical Measurements An Introduction to Data Analysis in the Physics Laboratory

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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.

    15 in stock

    £135.99

  • Springer Variational Calculus and Optimal Control

    15 in stock

    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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  • Springer New York Robust Control of Uncertain Dynamic Systems A Linear State Space Approach

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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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  • IGI Global Neuromorphic Computing Systems for Industry 4.0

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    Book SynopsisAs artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today's companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.

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  • Createspace Independent Publishing Platform The reality of science

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  • Springer London Ltd Advanced Topics in Control Systems Theory: Lecture Notes from FAP 2005

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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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  • College Publications A Journey Through the Systems Landscape

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  • Springer London Ltd Advanced Topics in Control Systems Theory: Lecture Notes from FAP 2004

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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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  • Dignity Press Decolonizing Peace

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  • Amazon Digital Services LLC - Kdp AI For Absolute Beginners

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  • Amazon Digital Services LLC - Kdp Digital Threads

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  • Springer Nature Switzerland AG Complex Systems Design & Management: Proceedings

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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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  • Springer Nature Switzerland AG Handbook of Model Predictive Control

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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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    £123.49

  • Springer Nature Switzerland AG Systems Engineering: Fundamentals and Applications

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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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    £39.99

  • Springer Nature Switzerland AG The Koopman Operator in Systems and Control: Concepts, Methodologies, and Applications

    15 in stock

    Book SynopsisThis book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It also reviews novel theoretical results obtained and efficient numerical methods developed within the framework of Koopman operator theory.The contributions discuss the latest findings and techniques in several areas of control theory, including model predictive control, optimal control, observer design, systems identification and structural analysis of controlled systems, addressing both theoretical and numerical aspects and presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem. After a brief introduction of the Koopman operator framework, including basic notions and definitions, the book explores numerical methods, such as the dynamic mode decomposition (DMD) algorithm and Arnoldi-based methods, which are used to represent the operator in a finite-dimensional basis and to compute its spectral properties from data. The main body of the book is divided into three parts: theoretical results and numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques based on DMD, which extract the spectral properties of the Koopman operator from data for the structural analysis of controlled systems; and Koopman operator techniques with specific applications in systems and control, which range from heat transfer analysis to robot control. A useful reference resource on the Koopman operator theory for control theorists and practitioners, the book is also of interest to graduate students, researchers, and engineers looking for an introduction to a novel and comprehensive approach to systems and control, from pure theory to data-driven methods.Table of ContentsPart I: Control Design, Observation, and Identification.- Linear Observer Synthesis for Nonlinear Systems.- Linear Predictors for Nonlinear Dynamical Systems.- Global Stability Analysis.- Pulse-based Optimal Control.- Parameter Estimation and Identification of Nonlinear Systems.- Koopman Spectrum and Stability of Cascaded Dynamical Systems.- Open and Closed Loop Control of PDEs via Switched Systems and Koopman operator based reduced order models.- Part II: Data-Driven Analysis.- Data-driven Approximations of Dynamical Systems Operators for Control.- Operator Theoretic-based Data-driven Approach for Optimal Stabilization of Nonlinear System.- Manifold Learning for Data-Driven Dynamical Systems Analysis.- Use of Data-Driven Koopman Spectrum Computation and Delay Embedding.- Part III: Applications.- Modeling of Advective Heat Transfer in a Practical Building Atrium via Koopman Mode Decomposition.- Phase-amplitude Reduction of Limit-cycling Systems.- Exploiting Effects of Network Topology on Performance in Nonlinear Consensus Networks.- Koopman Operators in Embedded Control.

    15 in stock

    £64.99

  • Springer Nature Switzerland AG Geometric Singular Perturbation Theory Beyond the Standard Form

    15 in stock

    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.

    15 in stock

    £54.99

  • Springer Nature Switzerland AG Neuromorphic Computing and Beyond: Parallel,

    15 in stock

    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

    15 in stock

    £54.99

  • Springer Nature Switzerland AG Automated Analysis of Virtual Prototypes at the Electronic System Level: Design Understanding and Applications

    15 in stock

    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.

    15 in stock

    £66.49

  • Springer Nature Switzerland AG Integrated Wide-Bandwidth Current Sensing

    15 in stock

    Book SynopsisThis book provides readers with a single-source reference to current sensing integrated circuit design. It is written in handbook style, including systematic guidelines and implementation examples. The authors focus on the implementation of wide-bandwidth current sensing on a single microchip, toward usage in applications such as sensing, control and optimization of the energy flow in growth areas like industrial electronics, renewable energies, smart grids, electromobility and the Internet of Things. Provides readers with a comprehensive, all-in-one source for current sensing integrated circuit design, including implementation examples; Discusses modeling and optimization of on-chip Rogowski coil and Hall sensor in both lateral and vertical orientation; Includes noise reduction techniques, such as auto-zeroing and chopping; Covers open-loop and closed-loop sensor front-end design; Presents the first on-chip current sensor with a planar coil placed besides a power line to measure internal signal currents and the first off-chip current sensor with a helix-shaped coil for external signal currents in the multi-MHz region. Table of ContentsIntroduction.- Motivation and Fundamentals.- Integrated Rogowski Coil Sensing.- Integrated Hall Sensing.- Hybrid Current Sensor.- Conclusion and Outlook.

    15 in stock

    £66.49

  • Springer Nature Switzerland AG Hardware Architectures for Post-Quantum Digital

    15 in stock

    Book SynopsisThis book explores C-based design, implementation, and analysis of post-quantum cryptography (PQC) algorithms for signature generation and verification. The authors investigate NIST round 2 PQC algorithms for signature generation and signature verification from a hardware implementation perspective, especially focusing on C-based design, power-performance-area-security (PPAS) trade-offs and design flows targeting FPGAs and ASICs. Describes a comprehensive set of synthesizable c code base as well as the hardware implementations for the different types of PQC algorithms including lattice-based, code-based, and multivariate-based; Demonstrates the hardware (FPGA and ASIC) and hardware-software optimizations and trade-offs of the NIST round 2 signature-based PQC algorithms; Enables designers to build hardware implementations that are resilient to a variety of side-channels. Table of ContentsIntroduction.- qTESLA.- CRYSTALS –Dilithium.- MQDSS.- SPHINCS.- Luov.- Falcon.- Picnic.- GeMSS.- Power, Performance, Area, and Security (PPAS) Comparison of the PQC Algorithms.- Conclusions.

    15 in stock

    £85.49

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