Documents disponibles chez cet éditeur

Wavelets and Signal Processing / Lokenath Debnath

Public ISBD Titre : Wavelets and Signal Processing Type de document : texte imprimé Auteurs : Lokenath Debnath, Auteur Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 2003 Collection : Applied and Numerical Harmonic Analysis Importance : 435 p. Présentation : couv. ill.,ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-8176-4235-8 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : The mathematical theory of wavelet analysis and its applications have grown considerably over the past twenty years. Wavelet analysis is now an integral part of the solution to difficult problems in fields as diverse as signal processing, computer vision, data compression, pattern recognition, image processing, computer graphics, medical imaging, and defense technology. The present volume is an interdisciplinary digest of recent developments, open questions, and unsolved problems for future research in these rapidly growing areas. Written by mathematicians and engineers, the book is divided into two main parts: "Wavelets and Wavelet Transforms," and "Signal Processing and Time-Frequency Signal Analysis." Specific topics covered include: * Current developments of the mathematical theory of wavelet analysis to time-frequency signal analysis * Wavelet methods for analyzing and computing turbulent flows * Geometric multiscale analysis * Image processing methods in remote sensing * Digital image techniques in medicine * Wavelet-based data compression in signal processing * Wavelet-based algorthims for solving differential equations Rich in applications and methods, and complete with up-to-date bibliographies, this book is an excellent text/reference for advanced students, researchers, and practitioners in wavelets, wavelet transforms, signal processing and time-frequency signal analysis. Professionals working in electrical and computer engineering, applied mathematics, computer science, biomedical engineering, physics, optics, and fluid mechanics will also find the book a valuable resource. Note de contenu : Table of Contents Preface Contributors Part I: Wavelets and Wavelet Transforms 1 The Wavelet Transform and Time-Frequency Analysis 2 Multiwavelets in Rn with an Arbitrary Dilation Matrix 3 On the Nonexistence of Certain Divergence-Free Multi-Wavelets 4 Osiris Wavelets and Isis Variables 5 Wavelets for Statistical Estimation and Detection Part II: Signal Processing and Time-Frequency Signal Analysis 6 High Performance Time-Frequency Distributions for Practical Applications 7 Covariant Time-Frequency Analysis 8 Time Frequency/Time-scale Reassignment 9 Spatial Time-Frequency Distributions: Theory and Applications 10 Time-Frequency Processing of Trying Signals with Nonlinear Group Delay 11 Self-Similarity and Intermittency, 12 Selective Thresholding in Wavelet Image Compression 13 Coherent Vortex Simulation of Two- and Three-Dimensional Turbulent Flows using Orthogonal Wavelets -Index Wavelets and Signal Processing [texte imprimé] / Lokenath Debnath, Auteur . - Boston, Basel, Berlin : Birkhäuser, 2003 . - 435 p. : couv. ill.,ill. ; 24 cm.. - (Applied and Numerical Harmonic Analysis) . ISBN : 978-0-8176-4235-8 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : The mathematical theory of wavelet analysis and its applications have grown considerably over the past twenty years. Wavelet analysis is now an integral part of the solution to difficult problems in fields as diverse as signal processing, computer vision, data compression, pattern recognition, image processing, computer graphics, medical imaging, and defense technology. The present volume is an interdisciplinary digest of recent developments, open questions, and unsolved problems for future research in these rapidly growing areas. Written by mathematicians and engineers, the book is divided into two main parts: "Wavelets and Wavelet Transforms," and "Signal Processing and Time-Frequency Signal Analysis." Specific topics covered include: * Current developments of the mathematical theory of wavelet analysis to time-frequency signal analysis * Wavelet methods for analyzing and computing turbulent flows * Geometric multiscale analysis * Image processing methods in remote sensing * Digital image techniques in medicine * Wavelet-based data compression in signal processing * Wavelet-based algorthims for solving differential equations Rich in applications and methods, and complete with up-to-date bibliographies, this book is an excellent text/reference for advanced students, researchers, and practitioners in wavelets, wavelet transforms, signal processing and time-frequency signal analysis. Professionals working in electrical and computer engineering, applied mathematics, computer science, biomedical engineering, physics, optics, and fluid mechanics will also find the book a valuable resource. Note de contenu : Table of Contents Preface Contributors Part I: Wavelets and Wavelet Transforms 1 The Wavelet Transform and Time-Frequency Analysis 2 Multiwavelets in Rn with an Arbitrary Dilation Matrix 3 On the Nonexistence of Certain Divergence-Free Multi-Wavelets 4 Osiris Wavelets and Isis Variables 5 Wavelets for Statistical Estimation and Detection Part II: Signal Processing and Time-Frequency Signal Analysis 6 High Performance Time-Frequency Distributions for Practical Applications 7 Covariant Time-Frequency Analysis 8 Time Frequency/Time-scale Reassignment 9 Spatial Time-Frequency Distributions: Theory and Applications 10 Time-Frequency Processing of Trying Signals with Nonlinear Group Delay 11 Self-Similarity and Intermittency, 12 Selective Thresholding in Wavelet Image Compression 13 Coherent Vortex Simulation of Two- and Three-Dimensional Turbulent Flows using Orthogonal Wavelets -Index

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Quality improvement through satatistical methods / Bovas Abraham

Public ISBD Titre : Quality improvement through satatistical methods Type de document : texte imprimé Auteurs : Bovas Abraham, Editeur scientifique Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 1998 Importance : 442 p. Présentation : couv. ill. en coul., ill. Format : 26,2 cm. ISBN/ISSN/EAN : 978-0-8176-4052-1 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Applied Statistics Quality Control Engineering approximation control engineering function optimization statistics Index. décimale : 25-02 Théorie et traitement du signal Résumé : This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Institute for Improvement in Quality and Productivity (IIQP) at the University of Waterloo, Canada, the Statistics in Industry Committee of the International Statistical Institute (lSI) and by the Indian Statistical Institute. There has been an increased interest in Quality Improvement (QI) activities in many organizations during the last several years since the airing of the NBC television program, "If Japan can ... why can't we?" Implementation of QI meth­ ods requires statistical thinking and the utilization of statistical tools, thus there has been a renewed interest in statistical methods applicable to industry and technology. This revitalized enthusiasm has created worldwide discussions on Industrial Statistics Research and QI ideas at several international conferences in recent years. The purpose of this conference was to provide a forum for presenting and ex­ changing ideas in Statistical Methods and for enhancing the transference of such technologies to quality improvement efforts in various sectors. It also provided an opportunity for interaction between industrial practitioners and academia. It was intended that the exchange of experiences and ideas would foster new international collaborations in research and other technology transfers. Note de contenu : Table of contents Part 1:Statistics and Quality 1.Scientific Learning 2.Industrial Statistics and Innovation 3.Understanding QS-9000 With Its Preventive and Statistical Focus 4.A Conceptual Framework for Variation Reduction 5.The Role of Academic Statisticians in Quality Improvement Strategies of Small and Medium Sized Companies Part 2:Statistical Process Control 6. Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Process 7. Capability Indices When Tolerances Are Asymmetric 8. Robustness of On-line Control Procedures 9. An Application of Filtering to Statistical Process Control 10. Statistical Process Control and Its Applications in Korean Industries 11. Multivariate Statistical Process Control of a Mineral Processing Industry 12. Developing Objective Strategies for Monitoring Multi Input/Single Output Chemical Process 13. Properties of the Cpm Index for Seemingly Unstable Production Processes 14. Process Capability Indices for Contaminated Bivariate Normal Populations 15. Quality Improvements by Likelihood Ratio Methods for Surveillance 16. Properties of the Taguchi Capability Index for Markov Dependent Quality Characteristics Part 3:Design and Analysis of Experiments 17. Fast Model Search for Designed Experiments with Complex Aliasing 18. Optimal 12 Run Designs 19. Robustness of D-optimal Experimental Designs for Mixture Studies 20. A Bivariate Plot Useful in Selecting a Robust Design 21. Process Optimization Through Designed Experiments: Two Case Studies 22. Technological Aspects of TQM 23. On Robust Design for Multiple Quality Characteristics 24. Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function 25. Evaluating Statistical Methods Practiced in Two Important Areas of Quality Improvement Part 4:Statistical Methods for Reliability 26. Applications of Generalized Linear Models in Reliability Studies for Composite Materials 27. Bivariate Failure Rates in Discrete Time 28. A General Approach of Studying Random Environmental Models 29. Testing for Change Points Expressed in Terms of the Mean Residual Life Function 30. Empirical Bayes Procedures For Testing The Quality and Reliability With Respect To Mean Life 31. On a Test of Independence in a Multivariate Exponential Distribution Part 5:Statistical Methods for Quality Improvement 32. Random Walk Approximation of Confidence Intervals 33. A Study of Quality Costs in a Multi Component and Low Volume Products Automated Manufacturing System 34. Estimating Dose Response Curves 35. On the Quality of Preterm Infants Formula and the Longitudinal Change in Mineral Contents in Human Milk Quality improvement through satatistical methods [texte imprimé] / Bovas Abraham, Editeur scientifique . - Boston, Basel, Berlin : Birkhäuser, 1998 . - 442 p. : couv. ill. en coul., ill. ; 26,2 cm. ISBN : 978-0-8176-4052-1 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Applied Statistics Quality Control Engineering approximation control engineering function optimization statistics Index. décimale : 25-02 Théorie et traitement du signal Résumé : This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Institute for Improvement in Quality and Productivity (IIQP) at the University of Waterloo, Canada, the Statistics in Industry Committee of the International Statistical Institute (lSI) and by the Indian Statistical Institute. There has been an increased interest in Quality Improvement (QI) activities in many organizations during the last several years since the airing of the NBC television program, "If Japan can ... why can't we?" Implementation of QI meth­ ods requires statistical thinking and the utilization of statistical tools, thus there has been a renewed interest in statistical methods applicable to industry and technology. This revitalized enthusiasm has created worldwide discussions on Industrial Statistics Research and QI ideas at several international conferences in recent years. The purpose of this conference was to provide a forum for presenting and ex­ changing ideas in Statistical Methods and for enhancing the transference of such technologies to quality improvement efforts in various sectors. It also provided an opportunity for interaction between industrial practitioners and academia. It was intended that the exchange of experiences and ideas would foster new international collaborations in research and other technology transfers. Note de contenu : Table of contents Part 1:Statistics and Quality 1.Scientific Learning 2.Industrial Statistics and Innovation 3.Understanding QS-9000 With Its Preventive and Statistical Focus 4.A Conceptual Framework for Variation Reduction 5.The Role of Academic Statisticians in Quality Improvement Strategies of Small and Medium Sized Companies Part 2:Statistical Process Control 6. Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Process 7. Capability Indices When Tolerances Are Asymmetric 8. Robustness of On-line Control Procedures 9. An Application of Filtering to Statistical Process Control 10. Statistical Process Control and Its Applications in Korean Industries 11. Multivariate Statistical Process Control of a Mineral Processing Industry 12. Developing Objective Strategies for Monitoring Multi Input/Single Output Chemical Process 13. Properties of the Cpm Index for Seemingly Unstable Production Processes 14. Process Capability Indices for Contaminated Bivariate Normal Populations 15. Quality Improvements by Likelihood Ratio Methods for Surveillance 16. Properties of the Taguchi Capability Index for Markov Dependent Quality Characteristics Part 3:Design and Analysis of Experiments 17. Fast Model Search for Designed Experiments with Complex Aliasing 18. Optimal 12 Run Designs 19. Robustness of D-optimal Experimental Designs for Mixture Studies 20. A Bivariate Plot Useful in Selecting a Robust Design 21. Process Optimization Through Designed Experiments: Two Case Studies 22. Technological Aspects of TQM 23. On Robust Design for Multiple Quality Characteristics 24. Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function 25. Evaluating Statistical Methods Practiced in Two Important Areas of Quality Improvement Part 4:Statistical Methods for Reliability 26. Applications of Generalized Linear Models in Reliability Studies for Composite Materials 27. Bivariate Failure Rates in Discrete Time 28. A General Approach of Studying Random Environmental Models 29. Testing for Change Points Expressed in Terms of the Mean Residual Life Function 30. Empirical Bayes Procedures For Testing The Quality and Reliability With Respect To Mean Life 31. On a Test of Independence in a Multivariate Exponential Distribution Part 5:Statistical Methods for Quality Improvement 32. Random Walk Approximation of Confidence Intervals 33. A Study of Quality Costs in a Multi Component and Low Volume Products Automated Manufacturing System 34. Estimating Dose Response Curves 35. On the Quality of Preterm Infants Formula and the Longitudinal Change in Mineral Contents in Human Milk

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Deterministic and stochastic time delay systems / El Kébir Boukas

Public ISBD Titre : Deterministic and stochastic time delay systems Type de document : texte imprimé Auteurs : El Kébir Boukas, Auteur ; Zi-Kuan Liu, Auteur Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 2002 Collection : Control Engineering Importance : 423 p. Présentation : couv. ill. en coul., ill. Format : 23,3 cm. ISBN/ISSN/EAN : 978-0-8176-4245-7 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-04 Théorie des systèmes:systèmes asservis Résumé : Deterministic and Stochastic Time-Delay Systems provides professionals and advanced students in control engineering with the most recent results on deterministic and stochastic time-delay systems. It is an excellent text/reference for graduate level engineering students, or a reference for practicing control engineers, and researchers in control engineering. The control of uncertain systems has dominated the research effort of the control community during the last two decades. Some practical dynamical systems have time-delay in their dynamics, which makes their control a complicated task even in the deterministic case. The presence of time-delay in dynamical systems is a well-known case of instability and preference degradation. This book presents recent developments on the class of uncertain deterministic/stochastic dynamical systems with time-delay. Problems such as stochastic stability, stabilizability under memory and memoryless state feedback controller and output feedback control, Hinfinite control, filtering and its robustness are treated. Practical implications of the different methods are considered and numerical algorithms are provided for implementation. Note de contenu : Contents: 1 Introduction p. 1 I Deterministic Control p. 19 2 Deterministic Time Delay Systems p. 21 3 Stability and Stabilizability p. 31 4 Robust Stability and Robust Stabilizability p. 69 5 H[subscript [infinity]] Control and Filtering p. 99 6 Robust H[subscript [infinity]] Control, Filtering, and Guaranteed Cost Control p. 131 II Stochastic Control p. 175 7 Stochastic Time Delay Systems p. 177 8 Stability and Stabilizability of Markov Jump Systems p. 185 9 Robust Stability and Stabilizability of Jump Linear Uncertain Systems with Time Delay p. 229 10 H[subscript [infinity]] Control and Filtering Problems for Markov Jump Systems with Time Delay p. 283 11 Robust H[subscript [infinity]] and Guaranteed Cost Control for Jump Linear Systems with Time Delay p. 325 12 Nonlinear Stochastic Control Problem p. 361 A Linear Matrix Inequality and Preliminary Lemmas p. 377 B Matrix Inversion Formulas p. 395 C Kronecker Product p. 397 D Markov Process p. 399 References Deterministic and stochastic time delay systems [texte imprimé] / El Kébir Boukas, Auteur ; Zi-Kuan Liu, Auteur . - Boston, Basel, Berlin : Birkhäuser, 2002 . - 423 p. : couv. ill. en coul., ill. ; 23,3 cm.. - (Control Engineering) . ISBN : 978-0-8176-4245-7 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-04 Théorie des systèmes:systèmes asservis Résumé : Deterministic and Stochastic Time-Delay Systems provides professionals and advanced students in control engineering with the most recent results on deterministic and stochastic time-delay systems. It is an excellent text/reference for graduate level engineering students, or a reference for practicing control engineers, and researchers in control engineering. The control of uncertain systems has dominated the research effort of the control community during the last two decades. Some practical dynamical systems have time-delay in their dynamics, which makes their control a complicated task even in the deterministic case. The presence of time-delay in dynamical systems is a well-known case of instability and preference degradation. This book presents recent developments on the class of uncertain deterministic/stochastic dynamical systems with time-delay. Problems such as stochastic stability, stabilizability under memory and memoryless state feedback controller and output feedback control, Hinfinite control, filtering and its robustness are treated. Practical implications of the different methods are considered and numerical algorithms are provided for implementation. Note de contenu : Contents: 1 Introduction p. 1 I Deterministic Control p. 19 2 Deterministic Time Delay Systems p. 21 3 Stability and Stabilizability p. 31 4 Robust Stability and Robust Stabilizability p. 69 5 H[subscript [infinity]] Control and Filtering p. 99 6 Robust H[subscript [infinity]] Control, Filtering, and Guaranteed Cost Control p. 131 II Stochastic Control p. 175 7 Stochastic Time Delay Systems p. 177 8 Stability and Stabilizability of Markov Jump Systems p. 185 9 Robust Stability and Stabilizability of Jump Linear Uncertain Systems with Time Delay p. 229 10 H[subscript [infinity]] Control and Filtering Problems for Markov Jump Systems with Time Delay p. 283 11 Robust H[subscript [infinity]] and Guaranteed Cost Control for Jump Linear Systems with Time Delay p. 325 12 Nonlinear Stochastic Control Problem p. 361 A Linear Matrix Inequality and Preliminary Lemmas p. 377 B Matrix Inversion Formulas p. 395 C Kronecker Product p. 397 D Markov Process p. 399 References

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Fuzzy Model Identification for Control / Janos Abonyi

Public ISBD Titre : Fuzzy Model Identification for Control Type de document : texte imprimé Auteurs : Janos Abonyi, Auteur Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 2003 Importance : 273 p. Présentation : couv. ill.,ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-8176-4238-9 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Control Algorithms  Matlab  control  control theory  dynamical systems  fuzzy control  intelligent control  process control  reading  complexity Index. décimale : 25-06 Identification et simulation des processus Résumé : This book presents new approaches to the construction of fuzzy models for model-based control. New model structures and identification algorithms are described for the effective use of heterogeneous information in the form of numerical data, qualitative knowledge, and first principle models. The main methods and techniques are illustrated through several simulated examples and real-world applications from chemical and process engineering practice. Key features: * detailed review of algorithms and approaches developed for modeling and identification for control * numerous illustrations to facilitate the understanding of ideas and methods presented *extensive references give a good overview of the current state of identification and control of dynamic systems and fuzzy modeling, and suggest further reading for additional research * supporting MATLAB and Simulink files, available at the website www.fmt.vein.hu/softcomp, create a computational platform for exploration and illustration of many concepts and algorithms presented in the book. The book is aimed primarily at researchers, practitioners, and professionals in process control and identification, but it is also accessible to graduate students in electrical, chemical, and process engineering. Technical prerequisites include an undergraduate-level knowledge of control theory and linear algebra. Additional familiarity with fuzzy systems is helpful but not required. Note de contenu : Table of Contents Preface 1 Introduction 2 Fuzzy Model Structures and their Analysis 3 Fuzzy Models of Dynamical Systems 4 Fuzzy Model Identification 5 Fuzzy Model Based Control A Process Models Used for Case Studies -Index Fuzzy Model Identification for Control [texte imprimé] / Janos Abonyi, Auteur . - Boston, Basel, Berlin : Birkhäuser, 2003 . - 273 p. : couv. ill.,ill. ; 24 cm. ISBN : 978-0-8176-4238-9 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Control Algorithms  Matlab  control  control theory  dynamical systems  fuzzy control  intelligent control  process control  reading  complexity Index. décimale : 25-06 Identification et simulation des processus Résumé : This book presents new approaches to the construction of fuzzy models for model-based control. New model structures and identification algorithms are described for the effective use of heterogeneous information in the form of numerical data, qualitative knowledge, and first principle models. The main methods and techniques are illustrated through several simulated examples and real-world applications from chemical and process engineering practice. Key features: * detailed review of algorithms and approaches developed for modeling and identification for control * numerous illustrations to facilitate the understanding of ideas and methods presented *extensive references give a good overview of the current state of identification and control of dynamic systems and fuzzy modeling, and suggest further reading for additional research * supporting MATLAB and Simulink files, available at the website www.fmt.vein.hu/softcomp, create a computational platform for exploration and illustration of many concepts and algorithms presented in the book. The book is aimed primarily at researchers, practitioners, and professionals in process control and identification, but it is also accessible to graduate students in electrical, chemical, and process engineering. Technical prerequisites include an undergraduate-level knowledge of control theory and linear algebra. Additional familiarity with fuzzy systems is helpful but not required. Note de contenu : Table of Contents Preface 1 Introduction 2 Fuzzy Model Structures and their Analysis 3 Fuzzy Models of Dynamical Systems 4 Fuzzy Model Identification 5 Fuzzy Model Based Control A Process Models Used for Case Studies -Index

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H-optimal control and related minimax design problems / Tamer Basar

Public ISBD Titre : H-optimal control and related minimax design problems : a dynamic game approach Type de document : texte imprimé Auteurs : Tamer Basar, Auteur ; Pierre Bernhard, Auteur Mention d'édition : 2nd. ed. Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 1995 Collection : Systems & Control: Foundations & Applications Importance : 411 p. Présentation : couv. ill. en coul., ill. Format : 24,5 cm. ISBN/ISSN/EAN : 978-0-8176-3814-6 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : One of the major concentrated activities of the past decade in control theory has been the development of the so-called "H-infinity-optimal control theory", which addresses the issue of worst-case controller design for linear plants subject to unknown disturbances and plant uncertainties. Among the different time-domain approaches to this class of worst-case design problems, the one that uses the framework of dynamic, differential game theory stands out to be the most natural. This is so because the original H-infinity control problem (in its equivalent time-domain formulation) is in fact a minimax optimization problem, and hence a zero-sum game, where the controller can be viewed as the minimizing player and disturbance as the maximizing player. Using this framework, the authors present in this book a complete theory that encompasses continuous-time as well as discrete-time systems, finite as well as infinite horizons, and several different measurement schemes, including closed loop perfect state, delayed perfect state, samples state, closed-loop imperfect state, delayed imperfect state and sampled imperfect state information patterns. They also discuss extensions of the linear theory to nonlinear systems, and derivation of the lower dimensional controller for systems with regularly and singularly perturbed dynamics. This is the second edition of a 1991 book with the same title, which, besides featuring a more streamlined presentation of the results included in the first edition, and at places under more refined conditions, also contains substantial new material, reflecting new developments in the field since 1991. Among these are the nonlinear theory; connections between H-infinity-optimal control and risk sensitive stochastic control problems; H-infinity filtering for linear and nonlinear systems; and robustness considerations in the presence of regular and singular perturbations. The authors believe that the theory is now at a stage where it can easily be incorporated into a second-level graduate course in a control curriculum, that would follow a basic course in linear control theory covering LQ and LQG designs. The framework adopted in this book makes such an ambitious plan possible. For the most part, the only prerequisite for the book is a basic knowledge of linear control theory. No background in differential games, or game theory in general, is required, as the requisite concepts and results have been developed in the book at the appropriate level. Note de contenu : Contents: 1- A General Introduction to Minimax H-optimal Designs. 2- Basic Elements of Static and Dynamic Games. 3- The Discrete-Time Minimax Design Problem With Perfect State Measurements. 4- Continuous-Time Systems With Perfect State Measurements. 5- The Continuous-Time Problem With Imperfect State Measurements. 6- The Discrete-Time Problem With Imperfect State Measurements. 7- Minimax Estimators and Performance Levels. 8.Robustness to Regular and Singular Perturbations 9- Appendix A: Conjugate Points and existence of value. 10- Appendix B: Danskin's Theorem. H-optimal control and related minimax design problems : a dynamic game approach [texte imprimé] / Tamer Basar, Auteur ; Pierre Bernhard, Auteur  . -  2nd. ed. . - Boston, Basel, Berlin : Birkhäuser, 1995 . - 411 p. : couv. ill. en coul., ill. ; 24,5 cm.. - (Systems & Control: Foundations & Applications) . ISBN : 978-0-8176-3814-6 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : One of the major concentrated activities of the past decade in control theory has been the development of the so-called "H-infinity-optimal control theory", which addresses the issue of worst-case controller design for linear plants subject to unknown disturbances and plant uncertainties. Among the different time-domain approaches to this class of worst-case design problems, the one that uses the framework of dynamic, differential game theory stands out to be the most natural. This is so because the original H-infinity control problem (in its equivalent time-domain formulation) is in fact a minimax optimization problem, and hence a zero-sum game, where the controller can be viewed as the minimizing player and disturbance as the maximizing player. Using this framework, the authors present in this book a complete theory that encompasses continuous-time as well as discrete-time systems, finite as well as infinite horizons, and several different measurement schemes, including closed loop perfect state, delayed perfect state, samples state, closed-loop imperfect state, delayed imperfect state and sampled imperfect state information patterns. They also discuss extensions of the linear theory to nonlinear systems, and derivation of the lower dimensional controller for systems with regularly and singularly perturbed dynamics. This is the second edition of a 1991 book with the same title, which, besides featuring a more streamlined presentation of the results included in the first edition, and at places under more refined conditions, also contains substantial new material, reflecting new developments in the field since 1991. Among these are the nonlinear theory; connections between H-infinity-optimal control and risk sensitive stochastic control problems; H-infinity filtering for linear and nonlinear systems; and robustness considerations in the presence of regular and singular perturbations. The authors believe that the theory is now at a stage where it can easily be incorporated into a second-level graduate course in a control curriculum, that would follow a basic course in linear control theory covering LQ and LQG designs. The framework adopted in this book makes such an ambitious plan possible. For the most part, the only prerequisite for the book is a basic knowledge of linear control theory. No background in differential games, or game theory in general, is required, as the requisite concepts and results have been developed in the book at the appropriate level. Note de contenu : Contents: 1- A General Introduction to Minimax H-optimal Designs. 2- Basic Elements of Static and Dynamic Games. 3- The Discrete-Time Minimax Design Problem With Perfect State Measurements. 4- Continuous-Time Systems With Perfect State Measurements. 5- The Continuous-Time Problem With Imperfect State Measurements. 6- The Discrete-Time Problem With Imperfect State Measurements. 7- Minimax Estimators and Performance Levels. 8.Robustness to Regular and Singular Perturbations 9- Appendix A: Conjugate Points and existence of value. 10- Appendix B: Danskin's Theorem.

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Optimal Control / Arturo Locatelli

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Current trends in nonlinear systems and control / Laura Menini

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