Cybernetics and systems theory Books

Book SynopsisMany medical applications could benefit from system theory, if only instrumentation designers understood systems theory and signal processing academics had a better understanding of practical medical applications. This book bridges those gaps in a practical manner, with suggestions for coursework included.Trade Review"…this is a useful addition to the library of those who are involved in product development of technologies using complex signal processing." (Biomedical Instrumentation & Technology, May/June 2004) "...an excellent contribution to the current literature...well written..." (IEEE Engineering in Medicine and Biology, July/August 2002) "The approach chosen by Dr. Baura is original and is to be congratulated for its ambitiousness. I would recommend the book to existing biomedical engineering experts working in environment where solving practical problems is the issue...in addition it could be very useful as a class text..." (IFMBE News, No. 61, July 2003)Table of ContentsPreface. Nomenclature. I FILTERS. 1 System Theory and Frequency-Selective Filters. 2 Low Flow Rate Occlusion Detection Using Resistance Monitoring. 3 Adaptive Filters. 4 Improved Pulse Oximetry. 5 Time-Frequency and Time-Scale Analysis. 6 Improved Impedance Cardiography. II MODELS FOR REAL TIME PROCESSING. 7 Linear System Identification. 8 External Defibrillation Waveform Optimization. 9 Nonlinear System Identification. 10 Improved Screening for Cervical Cancer. 11 Fuzzy Models. 12 Continuous Noninvasive Blood Pressure Monitoring: Proof of Concept. III COMPARTMENTAL MODELS. 13 The Linear Compartmental Model. 14 Pharmacologic Stress Testing Using Closed-Loop Drug Delivery. 15 The Nonlinear Compartmental Model. 16 The Role of Nonlinear Compartmental Models in Development of Antiobesity Drugs. IV SYSTEM THEORY IMPLEMENTATION. 17 Algorithm Implementation. 18 The Need for More System Theory in Low-Cost Medical Applications. Glossary. Index.

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Book SynopsisA unique, integrated treatment of computer modeling and simulation The future of science belongs to those willing to make the shift to simulation-based modeling, predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone with a fast desktop computer, for integrating simulation into the modeling process in order to create meaningful models of real phenomena. Drawing from a wealth of experience, he gives examples from trading markets, oncology, epidemiology, statistical process control, physics, public policy, combat, real-world optimization, Bayesian analyses, and population dynamics. Dr. Thompson believes that, so far from liberating us from the necessity of modeling, the fast computer enables us to engage in realistic models of processes in , for example, economics, which have not been possible earlier because simple stochastic models in the forward temporal Trade ReviewWith the advent of faster computers with comparatively large storage facilities, simulation-based modeling is rapidly being adopted as an alternative approach to conventional top-down, assumptions-based, continuous, stochastic and discrete differential equation modeling. Thompson offers an interesting exposition to the art of simulation, and views "simulation approach" to modeling as a paradigm for realistic evolutionary modeling. The book is written in a very casual style, and background knowledge in statistics is all that is required to grasp the material contained therein. Thompson begins with an exposition of the generation of randomnumbers and then delves into a variety of special topics, including models for stocks and derivatives, optimization and estimation in a noisy world, Monte-Carlo solutions to differential equations, simulation assessment of multivariate and robust procedures in statistical process control, resampling-based tests, and some exposition to modeling the AIDS epidemic. Several useful algorithms, problem sets, and references to standard simulation packages are provided. Short chapter bibliographies; wide range of examples. The book could be used as a resource for beginning graduate students and professionals in applied statistics, computer science, economics and finance, engineering, and the natural sciences. Highly recommended. Graduate students; faculty; professionals. (CHOICE, April 2001, Vol. 38, No. 8) "...an eclectic survey of computing methods...lively and interesting...the wide variety of example certainly helps bring the material to life." (Journal of the American Statistical Association, Vol. 97, No. 457, March 2002) "...a very useful and entertaining book...a great reference book...contains some valuable material and philosophy that is unavailable anywhere else." (IIE Transactions) "...often entertaining...the level of detain and relevance is appropriate...a worthwhile read for model builders comfortable with both mathematics and simulation." (Complexity, Vol. 7, No. 2, 2002)Table of ContentsThe Generation of "Random" Numbers. Random Quadrature. Monte Carlo Solutions of Differential Equations. Markov Chains, Poisson Processes and Linear Equations. SIMEST, SIMDAT, and Pseudoreality. Models for Stocks and Derivatives. Simulation Assessment of Multivariate and Robust Procedures in Statistical Process Control. Noise and Chaos. Bayesian Approaches. Resampling Based Tests. Optimization and Estimation in a Noisy World. Modeling the USA AIDS Epidemic: Exploration, Simulation and Conjecture. Appendices. Index.

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Book SynopsisAn excellent introduction to SIMAN V, a leading-edge simulation language. Designed for the person who wants to begin simulating with SIMAN as quickly as possible, it emphasizes the language basics to provide quick instruction. Cinema is described within ARENA, a graphical environment that uses CAD-like drawing features.Table of ContentsThe Simulation Process. Introduction and Overview. Basic Blocks and Elements. Intermediate Concepts. Using the Interactive Run Controller. Output Analysis. More Intermediate Resource Concepts. Station Submodels. Transporters. Conveyors. Guided Transporters. Advanced Concepts. Additional Concepts. Animation Using Cinema in the ARENA Environment. Appendices. Index.

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Book SynopsisThe book presents the methodology applicable to the modeling and analysis of a variety of dynamic systems, regardless of their physical origin. It includes detailed modeling of mechanical, electrical, electro-mechanical, thermal, and fluid systems.Table of ContentsIntroduction. Translational Mechanical Systems. Standard Forms for System Models. Block Diagrams and Computer Simulation. Rotational Mechanical Systems. Electrical Systems. Transform Solutions of Linear Models. Transform Function Analysis. Developing a Linear Model. Electromechanical Systems. Thermal Systems. Fluid Systems. Block Diagrams for Dynamic Systems. Modeling, Analysis, and Design Tools. Feedback Design with MATLAB. Appendix A: Units. Appendix B: Matrices. Appendix C: Complex Algebra. Appendix D: Classical Solution of Differential Equations. Appendix E: Laplace Transforms. Appendix F: Selected Reading. Appendix G: Answers to Selected Problems. Index.

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Book SynopsisConceptual model building is accepted as a key phase in Soft Systems Methodology. Despite the recognition of the importance of the SSM, students are still experiencing difficulty with the basic process of conceptual model building. This book addresses that issue.Table of ContentsForeword by Mike Duffy. Preface. Preamble. Models and Methodology. Basic Principles of HAS Modelling. Selection of Relevant Systems. Business Process Re-engineering. The Consensus Primary Task Model. CPTMFormulation Using Wider-system Extraction. CPTMAssembly Using the Enterprise Model. Application to Training Strategy and HR. Generic Model Building. Conclusions. Appendix 1: The Albion Case. Appendix 2: Exercises. Appendix 3: The Development of the United Kingdom's Single Army Activity Model and Associated Information Needs and its Relationship to Command and Control. Appendix 4: An Overview of Soft Systems Methodology. Appendix 5: Example of Applying Information Analysis Method to Airspace Control Function. Appendix 6: Examples of Product to Information Category Mapping. References. Index.

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Book SynopsisCovering deterministic scheduling, stochastic scheduling, and the probabilistic analysis of algorithms, this unusually broad view of the subject brings together tutorials, surveys and articles with original results from foremost international experts. The contributions reflect the great diversity in scheduling theory in terms of academic disciplines, applications areas, fundamental approaches and mathematical skills. This book will help researchers to be aware of the progress in the various areas of specialization and the possible influences that this progress may have on their own specialities. Few disciplines are driven so much by continually changing and expanding technology, a fact that gives scheduling a permanence while adding to the excitement of designing and analyzing new systems. The book will be a vital resource for researchers and graduate students of computer science, applied mathematics and operational research who wish to remain up-to-date on the scheduling models and prTable of ContentsPartial table of contents: Computing Near-Optimal Schedules (J. Lenstra & D.Shmoys). A Tutorial in Stochastic Scheduling (G. Weiss). Scheduling with Communication Delays: A Survey (P. Chretienne &C. Picouleau). Profile Scheduling by List Algorithms (Z. Liu & E.Sanlaville). Real-Time Scheduling of Periodic Tasks (C. Chaouiya, et al.). Some Graph Coloring Models for Cyclic Scheduling (D. de Werra &P. Solot). Transforming Cyclic Scheduling Problems into Acyclic Ones (F.Gasperoni & U. Schwiegelshohn). Application of Majorization to Control Problems in Queueing Systems(D. Towsley). Dynamic Routing and Sequencing in Open Queueing Networks (C.Laws). Indexes.

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Book Synopsis"Stafford Beer is undoubtedly among the worlda s most provocative, creative, and profound thinkers on the subject of management, and he records his thinking with a flair that is unmatched. His writing is as much art as it is science. He is the most viable system I know.Table of ContentsNot Obtainable.

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Book SynopsisIn the new edition of this classic textbook Edward Ott has added much new material and has significantly increased the number of homework problems. The most important change is the addition of a completely new chapter on control and synchronization of chaos.Trade ReviewFrom reviews of the previous edition: '… a stimulating selection of topics that could be taught a la carte in postgraduate courses. The book is given unity by a preoccupation with scaling arguments, but covers almost all aspects of the subject (dimensions of strange attractors, transitions to chaos, thermodynamic formalism, scattering quantum chaos and so on … Ott has managed to capture the beauty of this subject in a way that should motivate and inform the next generation of students in applied dynamical systems.' NatureFrom reviews of the previous edition: '… proves there is definitely enough worthwhile material on chaos to fill a semester … Chapter exercises are at a good level for graduate students … worthwhile for the researcher who wants to learn about chaos on his or her own … a welcome volume for those who keep even modest collections on nonlinear dynamics.' Physics Today'… a book that will be of most interest to physicists and engineers … The book is well written, and does contain material that is hard to find elsewhere. In particular, the discussion of fractal basin boundaries is lucidly written, and this is an important topic.' Bulletin of Mathematical Biology'This second edition updates and expands the first edition. This very comprehensive book on chaotic dynamics is intended to use in a graduate course for scientists and engineers. It can also be used as a reference for researchers in the field of nonlinear dynamics.' Zentralblatt für Mathematik'The book is a comprehensive text and covrs all aspects of dynamical systems in a highly readable account.' Mathematics TodayTable of ContentsPreface; 1. Introduction and overview; 2. One-dimensional maps; 3. Strange attractors and fractal dimensions; 4. Dynamical properties of chaotic systems; 5. Nonattracting chaotic sets; 6. Quasiperiodicity; 7. Chaos in Hamiltonian systems; 8. Chaotic transitions; 9. Multifractals; 10. Control and synchronization of chaos; 11. Quantum chaos.

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Book SynopsisThis book shows how densities arise in simple deterministic systems.Table of Contents1. Introduction; 2. The toolbox; 3. Markov and Frobenius–Perron operators; 4. Studying chaos with densities; 5. The asymptotic properties of densities; 6. The behaviour of transformations on intervals and manifolds; 7. Continuous time systems: an introduction; 8. Discrete time processes embedded in continuous time systems; 9. Entropy; 10. Stochastic perturbation of discrete time systems; 11. Stochastic perturbation of continuous time systems.

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Book SynopsisFrom the 2021 Nobel Prize winner in Physics, an enlightening and personal journey into the practice of groundbreaking science “[Giorgio Parisi is] an extraordinary scientist.” —Carlo RovelliWith In a Flight of Starlings, celebrated physicist Giorgio Parisi guides us through his unorthodox yet exhilarating work, starting with investigating the principles of physics by observing the flight of flocks of birds. Studying the movements of these communities, he has realized, proves an illuminating way into understanding complex systems of all kinds—collections of everything from atoms and planets to other animals, such as ourselves.Along the way, he reflects on the lessons he has taken from a life in pursuit of scientific truth: the importance of serendipity to the discovery of new ideas, the surprising kinship between physics and other disciplines, and the value of science to a thriving society. In so doing, he removes the practice of science from the confines of the laboratory and brings it into the real world.Part elegant scientific treatise, part thrilling journey of discovery, In a Flight of Starlings is an invitation to find wonder in the world around us.

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Book SynopsisNiklas Luhmann ranks as one of the most important sociologists and social theorists of the twentieth century. Through his many books he developed a highly original form of systems theory that has been hugely influential in a wide variety of disciplines.Trade Review'These lectures, published here in English for the first time, show Luhmann at the height of his powers. They offer a unique insight into the engine room of arguably the world's most famous systems theorist. It is indeed a brilliant mind that is at work here; very few other social scientists would be able to perform at such a level. Particularly for students and readers who are not familiar with Luhmann's style of thought, this is an ideal introduction to systems theory by the man himself.' Andreas Hess, University College Dublin 'Niklas Luhmann is the closest the social sciences have come, in a long time, to an actual thinker. This book is an indispensable introduction to Luhmann’s unique version of systems theory and required reading to all concerned about theoretical sociology. It offers a rare glimpse into the experimental workings of an extraordinary sociological mind at work.' Stephan Fuchs, University of VirginiaTable of ContentsTranslators Note and Acknowledgements System-Autopoiesis-Form: An Introduction to Luhmann's 'Introduction to Systems Theory' Editor's Preface to the German Edition I. Sociology and Systems Theory 1. The Functionalism of System Maintenance 2. Parsons II. General Systems Theory 1. The Theory of Open Systems 2. System as Difference (Formal Analysis) 3. Operational Closure 4. Self-Organization, Autopoiesis 5. Structural Coupling 6. Observing 7. Re-entry 8. Complexity 9. The Idea of Rationality III. Time IV. Meaning V. Psychic and Social Systems 1. Problems of "Action Theory" 2. Two Modes of Operation of Autopoiesis VI. Communication as a Self-Observing Operation VII. Double Contingency, Structure, Conflict Suggested Further Readings

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Book SynopsisThis volume launches a series that will focus on providing chapters that advance our understanding of human performance in organizational systems as cognitive engineering principles are applied. It includes a historical review of a cognitive engineering research at a national laboratory.Table of ContentsPreface. Cognitive engineering research at Riso from 1962-1979 (K.J. Vicente). Developing adaptability: a theory for the design of integrated-embedded training systems (S.W.J. Kozlowski et al.). Using pathfinder networks to analyze procedural knowledge in interactions with advanced technology (D.J. Gillan, N.J. Cooke). Some guidelines for conducting a cognitive task analysis (G. Klein, L. Militello). The application of human modeling technology to the design, evaluation and operation of complex systems (W. Zachary et al.). Training teams to take initiative: critical thinking in novel situations (M.S. Cohen, B.B. Thompson). Use of commercial, off-the-shelf, simulations for team research (C.A. Bowers, F. Jentsch). Understanding human performance in complex environments: research paradigms and emerging application areas (J.M. Hitt II, et al.).

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Book Synopsis Audience: The volume will be of interest to scholars and postgraduate students of theoretical and mathematical physics, foundations and philosophy of physics, and teachers of theoretical physics and quantum mechanics, electromagnetic theory, and statistical physics (stochastic processes).Table of ContentsPreface. Part I: Prelude. 1. Quantum mechanics and the real world. 2. Quantum mechanics as a stochastic theory. 3. Elements of electrodynamics. Part II: Theme. 4. The zeropoint radiation field. 5. The equilibrium radiation field. 6. Environmental effects through the zero-point field. 7. The harmonic oscillator. 8. Quantum properties of other simple systems. 9. Breakdown of detailed energy balance. Part III: Coda. 10. Linear stochastic electrodynamics. 11. Radiative corrections in linear SED. 12. The wave properties of matter. 13. Stochastic optics. 14. Outlook and some corollaries. Bibliography. Index.

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Book Synopsis(revised) This is a textbook on classical mechanics at the intermediate level, but its main purpose is to serve as an introduction to a new mathematical language for physics called geometric algebra.Table of ContentsPreface. 1. Origins of Geometric Algebra. 2. Developments in Geometric Algebra. 3. Mechanics of a Single Particle. 4. Central Forces and Two-Particle Systems. 5. Operators and Transformations. 6. Many-Particle Systems. 7. Rigid Body Mechanics. 8. Celestial Mechanics. 9. Relativistic Mechanics. Appendix. Hints and Solutions for Selected Exercises. References. Index.

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Book SynopsisThe present book attempts to present a unified theoretical and conceptual framework for the description of various irreversible phenomena in quantum mechanics. The book as a whole is designed for the reader with knowledge of theoretical physics (especially quantum mechanics) at university level.Table of ContentsForeword. Introduction. I. Quantum-Theoretical Basis. Density Matrix. II. Quantum Theory of Relaxation Processes. III. Interaction with Photons and Molecular Vibrations. IV. Interaction with Photons. V. Memory Effects in Relaxation Processes. Exact Solutions. VI. Quantum Measurement and Irreversibility. Concluding Remarks. References. Index.

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Book SynopsisAs a new way to conceptualize the history of computing, this book will be of great interest to historians of science, technology, and culture, as well as computer scientists and theorists. Between Human and Machine: Feedback, Control, and Computing before CyberneticsTrade Review[Mindell's] account of this complex story of engineering, people, and organizations-academic, industrial and govenment-is well researched and well told. -- Stuart Bennett International Journal of Adaptive Control and Signal Processing 2004 While one might think a history of servomechanisms, feedback loops, and fire control systems would be of interest only to a narrow audience, one of David A. Mindell's great achievements in this rich and multilayered book is to show the centrality of control systems-the machines (and humans) that control machines-to the history of computing, the history of technology, and indeed to American history in the twentieth century. -- Ross Bassett American Historical Review In contextualizing the theory of cybernetics, Mindell gives engineering back forgotten parts of its history, and shows how important historical circumstances are to technological change... Mindell is scrupulous about providing this historical context; providing biographical insight into the major players in the history; and giving the reader a good sense of what it was like to be a Bell Labs scientist, or an engineer for Sperry. -- Michele Tepper Networker The book is an eye-opener in understanding who our engineering ancestors were and what they did. -- David L. Elliott IEEE Control Systems Magazine 2003 In an exceptionally insightful and lucid account, Mindell shows how engineering cultures emerging in specific institutional contexts profoundly shaped the design of human-machine systems and defined the human operator as part of a larger technological system. -- Slava Gerovitch IEEE Annals of the History of Computing 2004 This is a good and surprising book. It is good in its articulate survey of dynamic man-machine systems in the period from 1916 to 1948; it is surprising in its convincing revision of our picture of the origins of the computer and cybernetics. -- Larry Owens Technology and Culture 2003 The reader who makes the effort to follow Mindell's argument will be rewarded with a fresh insight into the emergence of the digital computer and all that its invention implies. -- Paul E. Ceruzzi Journal of American History 2004 This book is the first major study by a professional historian and as such should help to draw the attention of historians to the embeddedness of feedback control in 20th century technological systems. -- Stuart Bennett International Journal of Adaptive Control and Signal Processing 2004 A joy for both engineers and historians... Mindell's major contribution is to explore in abundant and fascinating detail the intellectual and physical roots of cybernetics in fields as distinct as communications engineering, military fire control, and analog computing. -- Karl D. Stephan IEEE Technology and Society Magazine 2004Table of ContentsPreface and Acknowledgments1. Introduction: A History of Control Systems2. Naval Control Systems: The Bureau of Ordnance and the Ford Instrument Company3. Taming the Beasts of the Machine Age: The Sperry Company4. Opening Black's Box: Bell Labs and the Transmission of Signals5. Artificial Representation of Power Systems: Analog Computing at MIT6. Dress Rehearsal for War: The Four Horsemen and Palomar7. Organizing for War: The Fire Control Divisions of the NDRC8. The Servomechanisms Laboratory and Fire Control for the Masses9. Analog's Finest Hour10. Radar and System Integration at the Radiation Laboratory11. Cybernetics and Ideas of the Digital12. Conclusion: Feedback and Information in 1945Appendix A: Algorithm of the Ford Rangekeeper Mark 1Appendix B: NDRC Section D-2 and Division 7 Contracts for Fire ControlAppendix C: Algorithm of Bell Labs' T-10 DirectorNotesBibliographyIndex

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Book SynopsisEarth, Life & System: Evolution and Ecology on a Gaian Planet explores the multiple themes of Lynn Margulis’s science: microbial evolution, ecology and symbiosis, the coupled interactions of environment and life in Gaia theory, and the connections of these newer scientific ideas to cultural and creative productions.Trade Review"Earth, Life, and System is a strikingly original and challenging collection of essays, which places the work and broad intellectual interests of Lynne Margulis in a variety of contexts and develops original arguments and interpretations that expand on and complement her interests." -- -Stacy Alaimo University of Texas at Arlington "Earth, Life, and System is a vital contribution to interdisciplinary knowledge about life, evolution, and the planetary imaginary. Clarke has assembled some of the best thought-provoking thinkers on this topic." -- -Tyler Volk New York UniversityTable of ContentsContents List of Plates and Figures Acknowledgments Introduction: Earth, Life & System Bruce Clarke 1. Life on a Margulisian Planet: A Son's Philosophical Reflections Dorion Sagan 2. The RNA/Protein World and the Endoprebiotic Origin of Life Sankar Chatterjee 3. Exobiology at NASA: Incubator for the Gaia and Serial Endosymbiosis Theories James Strick 4. Symbiosis, Microbes, Kingdoms, and Domains Jan Sapp 5. The World Egg and the Ouroboros: Two Models for Theoretical Biology Susan Squier 6. The Planetary Imaginary: Gaian Ecologies from Dune to Neuromancer Bruce Clarke 7. James Shapiro, Bringing Cell Action into Evolution James Shapiro 8. Sustainable Development: Living with Systems Susan Oyama 9. Bovine Urbanism: The Ecological Corpulence of Bos Urbanus Christopher Witmore 10. Symbiotism: Earth and the Greening of Civilization Peter Westbroek Notes References List of Contributors Index

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Book SynopsisThoroughly revised and updated, this second edition of Adaptive Control covers new developments in the field, including multi-model adaptive control with switching, direct and indirect adaptive regulation, and adaptive feedforward disturbance compensation.Trade ReviewFrom the book reviews:“This book is intended as a textbook for graduate students, and a basic reference for control researchers, applied mathematicians and practicing engineers. It has a clear and coherent exposition, showing the themes addressed and providing solutions to these, highlighting its relevance and possible applications.” (Guillermo Fernández-Anaya, Mathematical Reviews, February, 2015)“The aim of this book is to provide a coherent and comprehensive treatment of the field of adaptive control. Throughout the book, the mathematical aspects of the synthesis and analysis of various algorithms are emphasized. The book contains various applications of control techniques. The book is intended as a textbook for graduate students as well as basic reference for practicing engineers facing the problem of designing adaptive control systems.” (Vjatscheslav Vasiliev, Zentralblatt MATH, Vol. 1234, 2012)Table of ContentsIntroduction to Adaptive Control.- Discrete-time System Models for Control.- Parameter Adaptation Algorithms: Deterministic Environment.- Parameter Adaptation Algorithms: Stochastic Environment.- Recursive Plant Model Identification in Open Loop.- Adaptive Prediction.- Digital Control Strategies.- Robust Digital Control Design.- Recursive Plant Model Identification in Closed Loop.- Robust Parameter Estimation.- Direct Adaptive Control.- Indirect Adaptive Control.- Practical Aspects and Applications.- Multimodel Adaptive Control with Switching.- Adaptive Regulation: Rejection of Unknown Disturbances.- Adaptive Feedforward Compensation of Disturbances.- Appendices: Stochastic Processes; Stability; Passive (Hyperstable) Systems; Martingales.

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Book SynopsisThis book is intended for students and practitioners of robotics working with noisy sensor data to estimate state variables. New edition highlights include a new chapter on variational inference and new sections on adaptive covariance estimation and on inertial navigation as well as a primer on matrix calculus.Trade Review'This book provides a timely, concise, and well-scoped introduction to state estimation for robotics. It complements existing textbooks by giving a balanced presentation of estimation theoretic and geometric tools and discusses how these tools can be used to solve common estimation problems arising in robotics. It also strikes an excellent balance between theory and motivating examples.' Luca Carlone, IEEE Control Systems MagazineTable of ContentsAcronyms and abbreviations; Notation; Foreword to first edition; Foreword to second edition; 1. Introduction; Part I. Estimation Machinery: 2. Primer on probability theory; 3. Linear-Gaussian estimation; 4. Nonlinear non-Gaussian estimation; 5. Handling nonidealities in estimation; 6. Variational inference; Part II. Three-Dimensional Machinery: 7. Primer on three-dimensional geometry; 8. Matrix lie groups; Part III. Applications: 9. Pose estimation problems; 10. Pose-and-point estimation problems; 11. Continuous-time estimation; Appendix A: matrix primer; Appendix B: rotation and pose extras; Appendix C: miscellaneous extras; Appendix D: solutions to exercises; References; Index.

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Book SynopsisThe book showcases how advanced cybersecurity and forensic techniques can be applied to various computational issues. It further covers the advanced exploitation tools that are used in the domain of ethical hacking and penetration testing. Focuses on tools used in performing mobile and SIM forensics, static and dynamic memory analysis, and deep web forensics Covers advanced tools in the domain of data hiding and steganalysis Discusses the role and application of artificial intelligence and big data in cybersecurity Elaborates on the use of advanced cybersecurity and forensics techniques in computational issues Includes numerous open-source tools such as NMAP, Autopsy, and Wireshark used in the domain of digital forensicsThe text is primarily written for senior undergraduates, graduate students, and academicresearchers, in the fields of computer science, electrical engineering, cybersecurity,and forensics.

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Book SynopsisThis book provides a nuanced exploration of contemporary digital data governance, highlighting the importance of cooperation across sectors and disciplines in order to adapt to a rapidly evolving technological landscape. Most of the theory around global digital data governance remains scattered and focused on specific actors, norms, processes, or disciplinary approaches. This book argues for a polycentric approach, allowing readers to consider the issue across multiple disciplines and scales.Polycentrism, this book argues, provides a set of lenses that tie together the variety of actors, issues, and processes intertwined in digital data governance at subnational, national, regional, and global levels. Firstly, this approach uncovers the complex array of power centers and connections in digital data governance. Secondly, polycentric perspectives bridge disciplinary divides, challenging assumptions and drawing together a growing range of insights about the complexities of digitTable of Contents1. Introduction: Polycentric Perspectives on Digital Data Governance PART I Perspectives 2. Nudging the Ostroms’ Vision of the Commons on Polycentric Governance into the Digital Environment 3. Internet Interoperability and Polycentric Attributes in Global Digital Data Ordering 4. The Challenges of Governance in a Datascape: Theorizing the Role of Non-extractive Methodologies in the 2030 Agenda 5. Grassroots Data Activism and Polycentric Governance: Perspectives from the Margins 6. Questions as a Device for Data Responsibility: Making Data Science Responsible by Formulating Questions in a Polycentric Way PART II Controversies 7. Decentralized but Coordinated: Probing Polycentricity in EU Data Protection Cross-border Enforcement 8. Trade Agreements and Cross-border Disinformation: Patchwork or Polycentric? 9. Trackers and Chasers: Governance Challenges in Disinformation Datafication 10. Privacy Governance from a Polycentric Perspective PART III Technologies 11. Global Data Governance by Internet Interconnection 12. The Distributions of Distributed Governance: Power, Instability and Complexity in Polycentric Data Ordering 13. Polycentric Theory Diffusion and AI Governance 14. Conclusion: The End of a Beginning

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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 SynopsisThis reference book for system engineers, architects, and managers focuses on how to design, analyze, and deploy Web service-based workflows for both business and scientific applications in a broad domain of healthcare and biomedicine.Table of ContentsForeword xi Preface xiii 1. Introduction 1 1.1 Background and Motivations, 1 1.1.1 Web Service and Service-Oriented Architecture, 1 1.1.2 Workflow Technology, 4 1.2 Overview of Standards, 8 1.2.1 Web Service-Related Standards, 8 1.2.2 Workflow-Related Standards, 19 1.3 Workflow Design: State of the Art, 22 1.3.1 Automatic Service Composition, 22 1.3.2 Mediation-Aided Service Composition, 23 1.3.3 Verification of Service-Based Workflows, 24 1.3.4 Decentralized Execution of Workflows, 25 1.3.5 Scientific Workflow Systems, 26 1.4 Contributions, 27 2. Petri Net Formalism 29 2.1 Basic Petri Nets, 29 2.2 Workflow Nets, 32 2.3 Colored Petri Nets, 35 3. Data-Driven Service Composition 39 3.1 Problem Statement, 40 3.1.1 Domains and Data Relations, 41 3.1.2 Problem Formulation, 43 3.2 Data-Driven Composition Rules, 45 3.2.1 Sequential Composition Rule, 46 3.2.2 Parallel Composition Rule, 46 3.2.3 Choice Composition Rule, 47 3.3 Data-Driven Service Composition, 48 3.3.1 Basic Definitions, 48 3.3.2 Derive AWSP from Service Net, 50 3.4 Effectiveness and Efficiency of the Data-Driven Approach, 55 3.4.1 Solution Effectiveness, 55 3.4.2 Complexity Analysis, 56 3.5 Case Study, 57 3.6 Discussion, 60 3.7 Summary, 61 3.8 Bibliographic Notes, 62 4. Analysis and Composition of Partially-Compatible Web Services 65 4.1 Problem Definition and Motivating Scenario, 65 4.1.1 A Motivating Scenario, 68 4.2 Petri Net Formalism for BPEL Service, Mediation, and Compatibility, 70 4.2.1 CPN Formalism for BPEL Process, 70 4.2.2 CPN Formalism for Service Composition, 73 4.2.3 Mediator and Mediation-Aided Service Composition, 75 4.3 Compatibility Analysis via Petri Net Models, 78 4.3.1 Transforming Abstract BPEL Process to SWF-net, 79 4.3.2 Specifying Data Mapping, 80 4.3.3 Mediator Existence Checking, 81 4.3.4 Proof of Theorem 4.1, 85 4.4 Mediator Generation Approach, 88 4.4.1 Types of Mediation, 88 4.4.2 Guided Mediator Generation, 90 4.5 Bibliographic Notes, 94 4.5.1 Web Service Composition, 94 4.5.2 Business Process Integration, 94 4.5.3 Web Service Configuration, 94 4.5.4 Petri Net Model of BPEL Processes, 94 4.5.5 Component/Web Service Mediation, 95 5. Web Service Configuration with Multiple Quality-of-Service Attributes 99 5.1 Introduction, 99 5.2 Quality-of-Service Measurements, 104 5.2.1 QoS Attributes, 104 5.2.2 Aggregation, 104 5.2.3 Computation of QoS, 105 5.3 Assembly Petri Nets and Their Properties, 107 5.3.1 Assembly and Disassembly Petri Nets, 107 5.3.2 Definition of Incidence Matrix and State-Shift Equation, 110 5.3.3 Definition of Subgraphs and Solutions, 111 5.4 Optimal Web Service Configuration, 114 5.4.1 Web Service Configuration under Single QoS Objective, 115 5.4.2 Web Service Configuration under Multiple QoS Objectives, 116 5.4.3 Experiments and Performance Analysis, 117 5.5 Implementation, 121 5.6 Summary, 123 5.7 Bibliographic Notes, 124 6. A Web Service-Based Public-Oriented Personalized Health Care Platform 127 6.1 Background and Motivation, 127 6.2 System Architecture, 129 6.2.1 The System Architecture of PHISP, 129 6.2.2 Services Encapsulated in PHISP, 131 6.2.3 Composite Service Specifications, 133 6.2.4 User/Domain Preferences, 134 6.3 Web Service Composition with Branch Structures, 137 6.3.1 Basic Ideas and Concepts, 137 6.3.2 Service Composition Planner Supporting Branch Structures, 139 6.3.3 Illustrating Examples, 148 6.4 Web Service Composition with Parallel Structures, 153 6.5 Demonstrations and Results, 155 6.5.1 WSC Example in PHISP, 155 6.5.2 Implementation of PHISP, 158 6.6 Summary, 159 7. Scientific Workflows Enabling Web-Scale Collaboration 161 7.1 Service-Oriented Infrastructure for Science, 162 7.1.1 Service-Oriented Scientific Exploration, 162 7.1.2 Case Study: The Cancer Grid (caGrid), 166 7.2 Scientific Workflows in Service-Oriented Science, 167 7.2.1 Scientific Workflow: Old Wine in New Bottle? 167 7.2.2 caGrid Workflow Toolkit, 174 7.2.3 Exemplary caGrid Workflows, 183 7.3 Summary, 188 8. Network Analysis and Reuse of Scientific Workflows 189 8.1 Social Computing Meets Scientific Workflow, 190 8.1.1 Social Network Services for Scientists, 191 8.1.2 Related Research Work, 197 8.2 Network Analysis of myExperiment, 199 8.2.1 Network Model at a Glance, 199 8.2.2 Undirected Network, 200 8.2.3 Directed Graph, 205 8.2.4 Summary of Findings, 206 8.3 ServiceMap: Providing Map and GPS Assisting Service Composition in Bioinformatics, 207 8.3.1 Motivation, 207 8.3.2 ServiceMap Approach, 209 8.3.3 What Do People Who Use These Services Also Use? 210 8.3.4 What is an Operation Chain Between Services/Operations, 212 8.3.5 An Empirical Study, 218 8.4 Summary, 219 9. Future Perspectives 221 9.1 Workflows in Hosting Platforms, 222 9.2 Workflows Empowered by Social Computing, 223 9.3 Workflows Meeting Big Data, 224 9.4 Emergency Workflow Management, 225 Abbreviations List 227 References 231 Index 247

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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 SynopsisAn all-in-one resource for designing and implementing embedded control in mobile robotics In Embedded Control for Mobile Robotic Applications, a distinguished trio of researchers delivers an authoritative and fulsome resource for understanding embedded control and robotics. The book includes coverage of a variety of embedded platforms, their use in controller implementation, stability analyses of designed controllers, and two new approaches for designing embedded controllers. The authors offer a full chapter on Field-Programmable-Gate-Array (FPGA) architecture development for controller design that is perfect for both practitioners and students taking robotics courses and provide a companion website that includes MATLAB codes for simulation and embedded platform-specific code for mobile robotic applications (in Embedded C and Verilog). The two approaches discussed by the authorsthe top-down methodology and the bottom-up methodologyare of immediate practical utility to both practicinTable of ContentsContributors ix Preface xi Acknowledgments xv Acronyms xvii Introduction xxi 1 Embedded Technology for Mobile Robotics 1 1.1 Embedded Control System 2 1.2 Mobile Robotics 4 1.2.1 Robot Model for 2D Motion 5 1.2.2 Robot Model for 3D Motion 20 1.3 Embedded Technology 29 1.3.1 Processor technology 31 1.3.2 IC technology 33 1.4 Commercially available embedded processors 35 1.4.1 Microprocessor 35 1.4.2 Microcontroller 36 1.4.3 Field Programmable Gate Arrays (FPGA) 37 1.4.4 Digital Signal Processor 38 1.5 Notes and further readings 39 2 Discrete-time controller design 41 2.1 Transfer function for equivalent discrete-time system 42 2.2 Discrete-time PID Controller design 49 2.3 Stability in embedded implementation 52 2.3.1 Sampling 52 2.3.2 Quantization 55 2.3.3 Processing time 62 2.4 Notes and Further Readings 62 3 Embedded Control and Robotics 65 3.1 Transformations 67 3.1.1 2D Transformations 67 3.1.2 3D Transformations 71 3.2 Collision detection & avoidance 73 3.2.1 Vector field histogram (VFH) 74 3.2.2 Curvature Velocity Technique (CVM) 76 3.2.3 Dynamic Window Approach (DWA) 76 3.3 Localization 78 3.4 Path Planning 83 3.4.1 Potential field path planning 84 3.4.2 Graph-based path planning 87 3.5 Multi-agent scenarios 93 3.6 Notes and Further Readings 97 4 Bottom-up Method 99 4.1 Computations using CORDIC1 100 4.1.1 Coordinate transformation 103 4.1.2 Exponential and logarithmic functions 104 4.2 Interval Arithmetic2 105 4.2.1 Basics of Interval Arithmetic 105 4.2.2 Inclusion Function and inclusion tests 108 4.3 Collision detection using interval technique3 110 4.4 Free interval computation for collision avoidance4 115 4.5 Notes for further reading 119 5 Top-Down Method 123 5.1 Robust controller design 124 5.1.1 Basic Definitions 125 5.1.2 State feedback control 128 5.1.3 Sliding mode control 133 5.1.4 Sliding surface design for position stabilization in 2D 144 5.1.5 Position stabilization for a vehicle in 3D 149 5.1.6 Embedded implementation 159 5.2 Switched nonlinear system 160 5.2.1 Swarm Aggregation as a switched nonlinear system 164 5.2.2 Embedded Implementation 169 5.3 Notes and Further Readings 170 6 Generic FPGA architecture design 173 6.1 FPGA basics and Verilog 174 6.2 Systematic approach for designing architecture using FSM1 182 6.2.1 PID controller architecture 183 6.2.2 Sliding Mode Controller Architecture 190 6.3 FPGA implementation 194 6.4 Parallel Implementation of Multiple Controllers 200 6.5 Notes and Further Readings 201 7 Summary 203 Contributors ix Preface xi Acknowledgments xv Acronyms xvii Introduction xxi 1 Embedded Technology for Mobile Robotics 1 1.1 Embedded Control System 2 1.2 Mobile Robotics 4 1.2.1 Robot Model for 2D Motion 5 1.2.2 Robot Model for 3D Motion 20 1.3 Embedded Technology 29 1.3.1 Processor technology 31 1.3.2 IC technology 33 1.4 Commercially available embedded processors 35 1.4.1 Microprocessor 35 1.4.2 Microcontroller 36 1.4.3 Field Programmable Gate Arrays (FPGA) 37 1.4.4 Digital Signal Processor 38 1.5 Notes and further readings 39 2 Discrete-time controller design 41 2.1 Transfer function for equivalent discrete-time system 42 2.2 Discrete-time PID Controller design 49 2.3 Stability in embedded implementation 52 2.3.1 Sampling 52 2.3.2 Quantization 55 2.3.3 Processing time 62 2.4 Notes and Further Readings 62 3 Embedded Control and Robotics 65 3.1 Transformations 67 3.1.1 2D Transformations 67 3.1.2 3D Transformations 71 3.2 Collision detection & avoidance 73 3.2.1 Vector field histogram (VFH) 74 3.2.2 Curvature Velocity Technique (CVM) 76 3.2.3 Dynamic Window Approach (DWA) 76 3.3 Localization 78 3.4 Path Planning 83 3.4.1 Potential field path planning 84 3.4.2 Graph-based path planning 87 3.5 Multi-agent scenarios 93 3.6 Notes and Further Readings 97 4 Bottom-up Method 99 4.1 Computations using CORDIC1 100 4.1.1 Coordinate transformation 103 4.1.2 Exponential and logarithmic functions 104 4.2 Interval Arithmetic2 105 4.2.1 Basics of Interval Arithmetic 105 4.2.2 Inclusion Function and inclusion tests 108 4.3 Collision detection using interval technique3 110 4.4 Free interval computation for collision avoidance4 115 4.5 Notes for further reading 119 5 Top-Down Method 123 5.1 Robust controller design 124 5.1.1 Basic Definitions 125 5.1.2 State feedback control 128 5.1.3 Sliding mode control 133 5.1.4 Sliding surface design for position stabilization in 2D 144 5.1.5 Position stabilization for a vehicle in 3D 149 5.1.6 Embedded implementation 159 5.2 Switched nonlinear system 160 5.2.1 Swarm Aggregation as a switched nonlinear system 164 5.2.2 Embedded Implementation 169 5.3 Notes and Further Readings 170 6 Generic FPGA architecture design 173 6.1 FPGA basics and Verilog 174 6.2 Systematic approach for designing architecture using FSM1 182 6.2.1 PID controller architecture 183 6.2.2 Sliding Mode Controller Architecture 190 6.3 FPGA implementation 194 6.4 Parallel Implementation of Multiple Controllers 200 6.5 Notes and Further Readings 201 7 Summary 203

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Book SynopsisAdvanced Control of Power Converters Unique resource presenting advanced nonlinear control methods for power converters, plus simulation, controller design, analyses, and case studies Advanced Control of Power Converters equips readers with the latest knowledge of three control methods developed for power converters: nonlinear control methods such as sliding mode control, Lyapunov-function-based control, and model predictive control. Readers will learn about the design of each control method, and simulation case studies and results will be presented and discussed to point out the behavior of each control method in different applications. In this way, readers wishing to learn these control methods can gain insight on how to design and simulate each control method easily. The book is organized into three clear sections: introduction of classical and advanced control methods, design of advanced control methods, and case studies. Each control method is supporTable of ContentsAbout the Authors xiii List of Abbreviations xvii Preface xix Acknowledgment xxi About the Companion Website xxiii 1 Introduction 1 1.1 General Remarks 1 1.2 Basic Closed-Loop Control for Power Converters 3 1.3 Mathematical Modeling of Power Converters 4 1.4 Basic Control Objectives 6 1.4.1 Closed-Loop Stability 6 1.4.2 Settling Time 10 1.4.3 Steady-State Error 11 1.4.4 Robustness to Parameter Variations and Disturbances 12 1.5 Performance Evaluation 12 1.5.1 Simulation-Based Method 12 1.5.2 Experimental Method 13 1.6 Contents of the Book 13 References 15 2 Introduction to Advanced Control Methods 17 2.1 Classical Control Methods for Power Converters 17 2.2 Sliding Mode Control 18 2.3 Lyapunov Function-Based Control 22 2.3.1 Lyapunov’s Linearization Method 23 2.3.2 Lyapunov’s Direct Method 24 2.4 Model Predictive Control 27 2.4.1 Functional Principle 27 2.4.2 Basic Concept 28 2.4.3 Cost Function 29 References 30 3 Design of Sliding Mode Control for Power Converters 33 3.1 Introduction 33 3.2 Sliding Mode Control of DC–DC Buck and Cuk Converters 33 3.3 Sliding Mode Control Design Procedure 44 3.3.1 Selection of Sliding Surface Function 44 3.3.2 Control Input Design 46 3.4 Chattering Mitigation Techniques 48 3.4.1 Hysteresis Function Technique 48 3.4.2 Boundary Layer Technique 49 3.4.3 State Observer Technique 50 3.5 Modulation Techniques 51 3.5.1 Hysteresis Modulation Technique 51 3.5.2 Sinusoidal Pulse Width Modulation Technique 52 3.5.3 Space Vector Modulation Technique 53 3.6 Other Types of Sliding Mode Control 54 3.6.1 Terminal Sliding Mode Control 54 3.6.2 Second-Order Sliding Mode Control 54 References 55 4 Design of Lyapunov Function-Based Control for Power Converters 59 4.1 Introduction 59 4.2 Lyapunov-Function-Based Control Design Using Direct Method 59 4.3 Lyapunov Function-Based Control of DC–DC Buck Converter 62 4.4 Lyapunov Function-Based Control of DC–DC Boost Converter 67 References 71 5 Design of Model Predictive Control 73 5.1 Introduction 73 5.2 Predictive Control Methods 73 5.3 FCS Model Predictive Control 75 5.3.1 Design Procedure 76 5.3.2 Tutorial 1: Implementation of FCS-MPC for Three-Phase VSI 80 5.4 CCS Model Predictive Control 86 5.4.1 Incremental Models 86 5.4.2 Predictive Model 88 5.4.3 Cost Function in CCSMPC 92 5.4.4 Cost Function Minimization 93 5.4.5 Receding Control Horizon Principle 96 5.4.6 Closed-Loop of an MPC System 97 5.4.7 Discrete Linear Quadratic Regulators 97 5.4.8 Formulation of the Constraints in MPC 99 5.4.9 Optimization with Equality Constraints 103 5.4.10 Optimization with Inequality Constraints 105 5.4.11 MPC for Multi-Input Multi-Output Systems 108 5.4.12 Tutorial 2: MPC Design For a Grid-Connected VSI in dq Frame 109 5.5 Design and Implementation Issues 112 5.5.1 Cost Function Selection 112 5.5.1.1 Examples for Primary Control Objectives 113 5.5.1.2 Examples for Secondary Control Objectives 114 5.5.2 Weighting Factor Design 114 5.5.2.1 Empirical Selection Method 115 5.5.2.2 Equal-Weighted Cost-Function-Based Selection Method 116 5.5.2.3 Lookup Table-Based Selection Method 117 References 118 6 MATLAB/Simulink Tutorial on Physical Modeling and Experimental Setup 121 6.1 Introduction 121 6.2 Building Simulation Model for Power Converters 121 6.2.1 Building Simulation Model for Single-Phase Grid-Connected Inverter Based on Sliding Mode Control 122 6.2.2 Building Simulation Model for Three-Phase Rectifier Based on Lyapunov-Function-Based Control 126 6.2.3 Building Simulation Model for Quasi-Z Source Three-Phase Four-Leg Inverter Based on Model Predictive Control 131 6.2.4 Building Simulation Model for Distributed Generations in Islanded AC Microgrid 137 6.3 Building Real-Time Model for a Single-Phase T-Type Rectifier 142 6.4 Building Rapid Control Prototyping for a Single-Phase T-Type Rectifier 154 6.4.1 Components in the Experimental Testbed 155 6.4.1.1 Grid Simulator 155 6.4.1.2 A Single-Phase T-Type Rectifier Prototype 156 6.4.1.3 Measurement Board 157 6.4.1.4 Programmable Load 158 6.4.1.5 Controller 158 6.4.2 Building Control Structure on OP- 5707 158 References 162 7 Sliding Mode Control of Various Power Converters 163 7.1 Introduction 163 7.2 Single-Phase Grid-Connected Inverter with LCL Filter 163 7.2.1 Mathematical Modeling of Grid-Connected Inverter with LCL Filter 164 7.2.2 Sliding Mode Control 165 7.2.3 PWM Signal Generation Using Hysteresis Modulation 168 7.2.3.1 Single-Band Hysteresis Function 168 7.2.3.2 Double-Band Hysteresis Function 168 7.2.4 Switching Frequency Computation 170 7.2.4.1 Switching Frequency Computation with Single-Band Hysteresis Modulation 170 7.2.4.2 Switching Frequency Computation with Double-Band Hysteresis Modulation 171 7.2.5 Selection of Control Gains 172 7.2.6 Simulation Study 174 7.2.7 Experimental Study 177 7.3 Three-Phase Grid-Connected Inverter with LCL Filter 180 7.3.1 Physical Model Equations for a Three-Phase Grid-Connected VSI with an LCL Filter 181 7.3.2 Control System 182 7.3.2.1 Reduced State-Space Model of the Converter 183 7.3.2.2 Model Discretization and KF Adaptive Equation 187 7.3.2.3 Sliding Surfaces with Active Damping Capability 188 7.3.3 Stability Analysis 189 7.3.3.1 Discrete-Time Equivalent Control Deduction 189 7.3.3.2 Closed-Loop System Equations 191 7.3.3.3 Test of Robustness Against Parameters Uncertainties 192 7.3.4 Experimental Study 192 7.3.4.1 Test of Robustness Against Grid Inductance Variations 192 7.3.4.2 Test of Stability in Case of Grid Harmonics Near the Resonance Frequency 196 7.3.4.3 Test of the VSI Against Sudden Changes in the Reference Current 196 7.3.4.4 Test of the VSI Under Distorted Grid 198 7.3.4.5 Test of the VSI Under Voltage Sags 198 7.3.5 Computational Load and Performances of the Control Algorithm 199 7.4 Three-Phase AC–DC Rectifier 200 7.4.1 Nonlinear Model of the Unity Power Factor Rectifier 200 7.4.2 Problem Formulation 202 7.4.3 Axis-Decoupling Based on an Estimator 203 7.4.4 Control System 205 7.4.4.1 Kalman Filter 206 7.4.4.2 Practical Considerations: Election of Q and R Matrices 208 7.4.4.3 Practical Considerations: Computational Burden Reduction 208 7.4.5 Sliding Mode Control 209 7.4.5.1 Inner Control Loop 209 7.4.5.2 Outer Control Loop 210 7.4.6 Hysteresis Band Generator with Switching Decision Algorithm 212 7.4.7 Experimental Study 215 7.5 Three-Phase Transformerless Dynamic Voltage Restorer 224 7.5.1 Mathematical Modeling of Transformerless Dynamic Voltage Restorer 224 7.5.2 Design of Sliding Mode Control for TDVR 225 7.5.3 Time-Varying Switching Frequency with Single-Band Hysteresis 227 7.5.4 Constant Switching Frequency with Boundary Layer 229 7.5.5 Simulation Study 231 7.5.6 Experimental Study 233 7.6 Three-Phase Shunt Active Power Filter 240 7.6.1 Nonlinear Model of the SAPF 240 7.6.2 Problem Formulation 242 7.6.3 Control System 243 7.6.3.1 State Model of the Converter 243 7.6.3.2 Kalman Filter 245 7.6.3.3 Sliding Mode Control 246 7.6.3.4 Hysteresis Band Generator with SDA 247 7.6.4 Experimental Study 248 7.6.4.1 Response of the SAPF to Load Variations 249 7.6.4.2 SAPF Performances Under a Distorted Grid 253 7.6.4.3 SAPF Performances Under Grid Voltage Sags 254 7.6.4.4 Spectrum of the Control Signal 254 References 257 8 Design of Lyapunov Function-Based Control of Various Power Converters 261 8.1 Introduction 261 8.2 Single-Phase Grid-Connected Inverter with LCL Filter 261 8.2.1 Mathematical Modeling and Controller Design 261 8.2.2 Controller Modification with Capacitor Voltage Feedback 264 8.2.3 Inverter-Side Current Reference Generation Using Proportional- Resonant Controller 264 8.2.4 Grid Current Transfer Function 266 8.2.5 Harmonic Attenuation and Harmonic Impedance 267 8.2.6 Results 270 8.3 Single-Phase Quasi-Z-Source Grid-Connected Inverter with LCL Filter 277 8.3.1 Quasi-Z-Source Network Modeling 277 8.3.2 Grid-Connected Inverter Modeling 280 8.3.3 Control of Quasi-Z-Source Network 281 8.3.4 Control of Grid-Connected Inverter 281 8.3.5 Reference Generation Using Cascaded PR Control 282 8.3.6 Results 283 8.4 Single-Phase Uninterruptible Power Supply Inverter 287 8.4.1 Mathematical Modeling of Uninterruptible Power Supply Inverter 287 8.4.2 Controller Design 288 8.4.3 Criteria for Selecting Control Parameters 290 8.4.4 Results 292 8.5 Three-Phase Voltage-Source AC–DC Rectifier 298 8.5.1 Mathematical Modeling of Rectifier 298 8.5.2 Controller Design 301 8.5.3 Results 304 References 307 9 Model Predictive Control of Various Converters 309 9.1 CCS MPC Method for a Three-Phase Grid-Connected VSI 309 9.1.1 Model Predictive Control Design 310 9.1.1.1 VSI Incremental Model with an Embedded Integrator 310 9.1.1.2 Predictive Model of the Converter 311 9.1.1.3 Cost Function Minimization 312 9.1.1.4 Inclusion of Constraints 313 9.1.2 MATLAB ® /Simulink ® Implementation 315 9.1.3 Simulation Studies 322 9.2 Model Predictive Control Method for Single-Phase Three-Level Shunt Active Filter 325 9.2.1 Modeling of Shunt Active Filter (SAPF) 325 9.2.2 The Energy-Function-Based MPC 328 9.2.2.1 Design of Energy-Function-Based MPC 328 9.2.2.2 Discrete-Time Model 331 9.2.3 Experimental Studies 332 9.2.3.1 Steady-State and Dynamic Response Tests 333 9.2.3.2 Comparison with Classical MPC Method 337 9.3 Model Predictive Control of Quasi-Z Source Three-Phase Four-Leg Inverter 341 9.3.1 qZS Four-Leg Inverter Model 341 9.3.2 MPC Algorithm 345 9.3.2.1 Determination of References 345 9.3.2.2 Discrete-Time Models of the System 346 9.3.2.3 Cost Function Optimization 347 9.3.2.4 Control Algorithm 347 9.3.3 Simulation Results 349 9.4 Weighting Factorless Model Predictive Control for DC–DC SEPIC Converters 352 9.4.1 Principle of Control Strategy 352 9.4.1.1 Conventional Model Predictive Current Control 355 9.4.1.2 Cost Function Analysis of Conventional MPC 356 9.4.1.3 Cost Function Design of Presented MPC in [11] 358 9.4.1.4 Output Voltage Control 361 9.4.2 Experimental Results 362 9.4.2.1 Switching Frequency Control Test 362 9.4.2.2 Dynamic Response Test Under Input Voltage Variation 363 9.4.2.3 Dynamic Response Test Under Load Change 366 9.4.2.4 Influence of Parameter Mismatch 367 9.5 Model Predictive Droop Control of Distributed Generation Inverters in Islanded AC Microgrid 370 9.5.1 Conventional Droop Control 370 9.5.2 Control Technique 373 9.5.2.1 Reference Voltage Generation Through Droop Control 373 9.5.2.2 Model Predictive Control 374 9.5.3 Simulation Results 376 9.6 FCS-MPC for a Three-Phase Shunt Active Power Filter 378 9.6.1 System Modeling 381 9.6.2 Control Technique 383 9.6.3 FCS-MPC with Reduced States 384 9.6.3.1 Vector Selection Based on Vector Operation 384 9.6.3.2 Cost Function Minimization Procedure 387 9.6.3.3 Kalman Filter 387 9.6.4 Experimental Results 389 9.7 FCS-MPC for a Single-Phase T-Type Rectifier 395 9.7.1 Modeling of Single-Phase T-Type Rectifier 395 9.7.2 Model Predictive Control 397 9.7.2.1 Sensorless Grid Voltage Estimation 397 9.7.2.2 Reference Current Generation 400 9.7.2.3 MPC for the T-Type Rectifier 400 9.7.2.4 MPC for the Power Decoupling Circuit 402 9.7.3 Experimental Studies 404 9.7.3.1 Steady-State Analysis 404 9.7.3.2 Robustness Analysis 404 9.8 Predictive Torque Control of Brushless Doubly Fed Induction Generator Fed by a Matrix Converter 408 9.8.1 Overview of the System Model 411 9.8.1.1 Topology Overview 411 9.8.1.2 Mathematical Model of the CDFIG 412 9.8.1.3 Mathematical Model of the Matrix Converter 414 9.8.2 Predictive Torque Control of CDFIG 415 9.8.2.1 Outer Loop 416 9.8.2.2 Internal Model of the Controller 416 9.8.2.3 Cost Function Minimization 418 9.8.3 Simulation Results 418 9.9 An Enhanced Finite Control Set Model Predictive Control Method with Self-Balancing Capacitor Voltages for Three-Level T-Type Rectifiers 420 9.9.1 Overview of the System Model 422 9.9.2 Problem Definition 424 9.9.3 Derivation of Lyapunov-Energy Function 425 9.9.4 Discrete-Time Model 428 9.9.5 Experimental Studies 429 References 431 Index 435

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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 SynopsisUltimately, he reveals the crucial role played by the cybernetics moment-when cybernetics and information theory were seen as universal sciences-in setting the stage for our current preoccupation with information technologies.Trade ReviewNowhere in the burgeoning secondary literature on cybernetics in the last two decades is there a concise history of cybernetics, the science of communication and control that helped usher in the current information age in America. Nowhere, that is, until now... Readers have in The Cybernetics Moment the first authoritative history of American cybernetics. Information & Culture [A]n extremely interesting and stimulating history of the concepts of cybernetics... This is a book for everyone to read, relish, and think about. Choice As a whole, the book presents a comprehensive in-depth retrospective analysis of the contribution of the American scientific school to the making, formation, and development of cybernetics and information theory. An unquestionable advantage of the book is the skillful use of numerous bibliographic sources by the author that reflect the scientific, engineering, and social significance of the questions being considered, competition of ideas and developments, and also interrelations between scientists. Cybernetics and System Anaysis Dr. Kline is perhaps uniquely situated to take on so large and complicated [a] topic as cybernetics... Readers unfamiliar with Wiener and his work are well advised to start with this well-written and thorough book. Those who are already familiar will still find much that is new and informative in the thorough research and reasoned interpretations. IEEE History Center The most comprehensive intellectual history of cybernetics in Cold War America. Journal of American History The book will be most valuable as historical background for the large number of disciplines that were involved in the cybernetics moment: computer science, communications engineering, information theory, and the social sciences of sociology and anthropology. IEEE Technology and Society Magazine Ronald Kline's chronicle of cybernetics certainly does what an excellent history of science should do. It takes you there-to the golden age of a new, exciting field. You will almost smell that cigar. Second-Order Cybernetics Kline's The Cybernetics Moment tracks the rise and fall of the cybernetics movement in more detail than any historical account to date. Los Angeles Review of Books Kline does a valuable service tracing the contrasting fates of cybernetics and information theory. Annals of Science ... The knowledge offered in The Cybernetics Moment will greatly contribute to any reader seeking an enhanced or more comprehensive understanding of our present-day discourse surrounding information, while also providing a detailed and well-warranted history of the science of cybernetics. Canadian Journal of Academic Librarianship After reading his book, it is impossible to ignore the contribution that cybernetics has made to computational models and techniques used in numerous academic disciplines, and to how so many of these disciplines- from biology and engineering to social sciences and the humanities-operated even in quantitative and social history. With The Cybernetics Moment, Kline has moved cybernetics out of the shadows of intellectual history into the limelight. The American Historical ReviewTable of ContentsAcknowledgmentsIntroduction1. War and Information Theory2. Circular Causality3. The Cybernetics Craze4. The Information Bandwagon5. Humans as Machines6. Machines as Human7. Cybernetics in Crisis8. Inventing an Information Age9. Two Cybernetic FrontiersAbbreviationsNotesIndex

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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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