Current trends in nonlinear systems and control / Laura Menini

Public ISBD Titre : Current trends in nonlinear systems and control : in Honor of petar kokotovic and turi nicosia Type de document : texte imprimé Auteurs : Laura Menini, Auteur ; Luca ‎Zaccarian, Auteur ; Chaouki T. ‎Abdallah, Auteur Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 2006 Collection : Systems & Control: Foundations & Applications Importance : 500 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-8176-4383-6 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : This volume is an outgrowth of the workshop "Applications of Advanced Control Theory to Robotics and Automation, "organized in honor of the 70th birthdays of Petar V. Kokotovic and Salvatore (Turi) Nicosia. Both Petar and Turi have carried out distinguished work in the control community and have long been recognized as mentors, as well as experts and pioneers in the field of automatic control, covering many topics in control theory and several different applications. The variety of their research is reflected in this book, which includes contributions ranging from mathematics to laboratory experiments. The scope of the work is very broad, and although each chapter is self-contained, the book has been organized into thematically related chapters, which in some cases, suggest to the reader a convenient reading sequence. The great variety of topics covered and the almost tutorial writing style used by many of the authors will make this book suitable for both experts in the control field and young researchers who seek a more intuitive understanding of these relevant topics in the field. Note de contenu : Contents Part I: State Estimation and Identification. - Circle-criterion observers and their feedback applications: an overview. - Unknown input observers and residual generators for linear time delay systems. - Set membership identification: the H-infinity case. - Algebraic methods for nonlinear systems: parameter identification and state estimation. - Recent techniques for the identification of piecewise affine and hybrid systems.- Part II: Control and System Theory. - Dual matrix inequalities in stability and performance analysis of linear differential/difference inclusions. - Oscillators as systems and synchrony as a design principle. - Nonlinear anti-windup for exponentially unstable linear plants. - Constrained pole assignment control. - An overview of finite-time stability. - Finite-time control of linear systems: a survey.- Part III: Robotics. - An application of iterative identification and control in the robotics field. - Friction identification and model-based digital control of a direct-drive manipulator. - A singular perturbation approach to control of flexible arms in compliant motion. - Fault tolerant tracking of a robot manipulator: an internal model based approach. - Set membership localization and map building for mobile robots. - Visual servoing with central catadioptric camera. - Motion control and coordination in mechanical and robotic systems. - Coordination of robot teams: a decentralized approach.- Part IV: Control of Electromechanical Systems. - Transient stabilization of multimachine power systems. - Robust controllers for large-scale interconnected systems: applications to web processing machines. - Control strategy using vision for the stabilization of an experimental PVTOL aircraft setup. - Neural network model reference adaptive control of marine vehicles.- Part V: Manufacturing Systems. - Projection and aggregation in maxplus algebra. - A switched system model for the optimal control of two symmetric competing queues with finite capacity. - Cooperative inventory control.- Part VI: Networked Control Systems. - Communication logic design and analysis for networked control systems. - Networked decentralized control of multirate sampled-data systems. - Finite-time stability for nonlinear networked control systems. - Index Current trends in nonlinear systems and control : in Honor of petar kokotovic and turi nicosia [texte imprimé] / Laura Menini, Auteur ; Luca ‎Zaccarian, Auteur ; Chaouki T. ‎Abdallah, Auteur . - Boston, Basel, Berlin : Birkhäuser, 2006 . - 500 p. : couv. ill. en coul., ill. ; 24 cm.. - (Systems & Control: Foundations & Applications) . ISBN : 978-0-8176-4383-6 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : This volume is an outgrowth of the workshop "Applications of Advanced Control Theory to Robotics and Automation, "organized in honor of the 70th birthdays of Petar V. Kokotovic and Salvatore (Turi) Nicosia. Both Petar and Turi have carried out distinguished work in the control community and have long been recognized as mentors, as well as experts and pioneers in the field of automatic control, covering many topics in control theory and several different applications. The variety of their research is reflected in this book, which includes contributions ranging from mathematics to laboratory experiments. The scope of the work is very broad, and although each chapter is self-contained, the book has been organized into thematically related chapters, which in some cases, suggest to the reader a convenient reading sequence. The great variety of topics covered and the almost tutorial writing style used by many of the authors will make this book suitable for both experts in the control field and young researchers who seek a more intuitive understanding of these relevant topics in the field. Note de contenu : Contents Part I: State Estimation and Identification. - Circle-criterion observers and their feedback applications: an overview. - Unknown input observers and residual generators for linear time delay systems. - Set membership identification: the H-infinity case. - Algebraic methods for nonlinear systems: parameter identification and state estimation. - Recent techniques for the identification of piecewise affine and hybrid systems.- Part II: Control and System Theory. - Dual matrix inequalities in stability and performance analysis of linear differential/difference inclusions. - Oscillators as systems and synchrony as a design principle. - Nonlinear anti-windup for exponentially unstable linear plants. - Constrained pole assignment control. - An overview of finite-time stability. - Finite-time control of linear systems: a survey.- Part III: Robotics. - An application of iterative identification and control in the robotics field. - Friction identification and model-based digital control of a direct-drive manipulator. - A singular perturbation approach to control of flexible arms in compliant motion. - Fault tolerant tracking of a robot manipulator: an internal model based approach. - Set membership localization and map building for mobile robots. - Visual servoing with central catadioptric camera. - Motion control and coordination in mechanical and robotic systems. - Coordination of robot teams: a decentralized approach.- Part IV: Control of Electromechanical Systems. - Transient stabilization of multimachine power systems. - Robust controllers for large-scale interconnected systems: applications to web processing machines. - Control strategy using vision for the stabilization of an experimental PVTOL aircraft setup. - Neural network model reference adaptive control of marine vehicles.- Part V: Manufacturing Systems. - Projection and aggregation in maxplus algebra. - A switched system model for the optimal control of two symmetric competing queues with finite capacity. - Cooperative inventory control.- Part VI: Networked Control Systems. - Communication logic design and analysis for networked control systems. - Networked decentralized control of multirate sampled-data systems. - Finite-time stability for nonlinear networked control systems. - Index

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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

Public ISBD Titre : Optimal Control : an introduction Type de document : texte imprimé Auteurs : Arturo Locatelli, Auteur Editeur : Boston, Basel, Berlin : Birkhäuser Année de publication : 2001 Importance : 294 p. Présentation : couv. ill. en coul., ill. Format : 23,8 cm. ISBN/ISSN/EAN : 978-3-7643-6408-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : From the very beginning in the late 1950s of the basic ideas of optimal control, attitudes toward the topic in the scientific and engineering community have ranged from an excessive enthusiasm for its reputed capability ofsolving almost any kind of problem to an (equally) unjustified rejection of it as a set of abstract mathematical concepts with no real utility. The truth, apparently, lies somewhere between these two extremes. Intense research activity in the field of optimization, in particular with reference to robust control issues, has caused it to be regarded as a source of numerous useful, powerful, and flexible tools for the control system designer. The new stream of research is deeply rooted in the well-established framework of linear quadratic gaussian control theory, knowledge ofwhich is an essential requirement for a fruitful understanding of optimization. In addition, there appears to be a widely shared opinion that some results of variational techniques are particularly suited for an approach to nonlinear solutions for complex control problems. For these reasons, even though the first significant achievements in the field were published some forty years ago, a new presentation ofthe basic elements ofclassical optimal control theory from a tutorial point of view seems meaningful and contemporary. Note de contenu : Table des matières 1 Introduction I Global methods 2 The HamiltonJacobi theory 3 The LQ problem 4 The LQG problem 5 The Riccati equations II Variational methods 6 The Maximum Principle 7 Second variation methods A Basic background A2 Transition matrix A3 Poles and zeros A4 Quadratic forms A5 Expected value and covariance B Eigenvalues assignment B2 Assignment with accessible state B3 Assignment with inaccessible state B4 Assignment with asymptotic errors zeroing Index Optimal Control : an introduction [texte imprimé] / Arturo Locatelli, Auteur . - Boston, Basel, Berlin : Birkhäuser, 2001 . - 294 p. : couv. ill. en coul., ill. ; 23,8 cm. ISBN : 978-3-7643-6408-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : From the very beginning in the late 1950s of the basic ideas of optimal control, attitudes toward the topic in the scientific and engineering community have ranged from an excessive enthusiasm for its reputed capability ofsolving almost any kind of problem to an (equally) unjustified rejection of it as a set of abstract mathematical concepts with no real utility. The truth, apparently, lies somewhere between these two extremes. Intense research activity in the field of optimization, in particular with reference to robust control issues, has caused it to be regarded as a source of numerous useful, powerful, and flexible tools for the control system designer. The new stream of research is deeply rooted in the well-established framework of linear quadratic gaussian control theory, knowledge ofwhich is an essential requirement for a fruitful understanding of optimization. In addition, there appears to be a widely shared opinion that some results of variational techniques are particularly suited for an approach to nonlinear solutions for complex control problems. For these reasons, even though the first significant achievements in the field were published some forty years ago, a new presentation ofthe basic elements ofclassical optimal control theory from a tutorial point of view seems meaningful and contemporary. Note de contenu : Table des matières 1 Introduction I Global methods 2 The HamiltonJacobi theory 3 The LQ problem 4 The LQG problem 5 The Riccati equations II Variational methods 6 The Maximum Principle 7 Second variation methods A Basic background A2 Transition matrix A3 Poles and zeros A4 Quadratic forms A5 Expected value and covariance B Eigenvalues assignment B2 Assignment with accessible state B3 Assignment with inaccessible state B4 Assignment with asymptotic errors zeroing Index

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Quality improvement through satatistical methods / Bovas Abraham

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Wavelets and Signal Processing / Lokenath Debnath

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