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Robust Control Design with MATLAB / D.-W. Gu

Public ISBD Titre : Robust Control Design with MATLAB Type de document : texte imprimé Auteurs : D.-W. Gu, Auteur ; P. Hr. Petkov, Auteur ; M. M. Konstantinov, Auteur Editeur : London : Springer-Verlag Année de publication : 2005 Collection : Advanced Textbooks in Control and Signal Processing Importance : 389 p. Présentation : couv. ill. en coul., ill. Format : 23,4 cm. Accompagnement : CD-ROM ISBN/ISSN/EAN : 978-1-85233-983-8 Langues : Anglais (eng) Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLAB(r) helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass damper spring assembly, to complex systems like a flexible-link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB(r) Robust Control Toolbox, Control System Toolbox and Simulink(r). By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. Features: Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. An abundance of examples illustrating the most important steps in robust design. Robust Control Design with MATLAB(r) is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments. The demonstrations are current for MATLAB(r) version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and Simulink(r) Note de contenu : Table of contents Part I: Basic Methods and Theory. 1- Introduction. 2- Modelling of Uncertain Systems. 3- Robust Design Specifications. 4- H-Infinity Design. 5- H-Infinity Loop Shaping Design Procedures. 6- u Analysis and Synthesis. 7- Lower-order Controllers. Part II: Design Examples. 8- Robust Control of a Mass-Damper-Spring System. 9- A Triple Inverted Pendulum Control System Design. 10- Robust Control of a Hard Disk Drive. 11- Robust Control of a Distillation Column. 12- Robust Control of a Rocket. 13- Robust Control of a Flexible-link Manipulator. -Index Robust Control Design with MATLAB [texte imprimé] / D.-W. Gu, Auteur ; P. Hr. Petkov, Auteur ; M. M. Konstantinov, Auteur . - London : Springer-Verlag, 2005 . - 389 p. : couv. ill. en coul., ill. ; 23,4 cm. + CD-ROM. - (Advanced Textbooks in Control and Signal Processing) . ISBN : 978-1-85233-983-8 Langues : Anglais (eng) Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLAB(r) helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass damper spring assembly, to complex systems like a flexible-link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB(r) Robust Control Toolbox, Control System Toolbox and Simulink(r). By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. Features: Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. An abundance of examples illustrating the most important steps in robust design. Robust Control Design with MATLAB(r) is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments. The demonstrations are current for MATLAB(r) version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and Simulink(r) Note de contenu : Table of contents Part I: Basic Methods and Theory. 1- Introduction. 2- Modelling of Uncertain Systems. 3- Robust Design Specifications. 4- H-Infinity Design. 5- H-Infinity Loop Shaping Design Procedures. 6- u Analysis and Synthesis. 7- Lower-order Controllers. Part II: Design Examples. 8- Robust Control of a Mass-Damper-Spring System. 9- A Triple Inverted Pendulum Control System Design. 10- Robust Control of a Hard Disk Drive. 11- Robust Control of a Distillation Column. 12- Robust Control of a Rocket. 13- Robust Control of a Flexible-link Manipulator. -Index

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Digital Self-Tuning Controllers / V. Bobal

Public ISBD Titre : Digital Self-Tuning Controllers : Algorithms, implementation and applications Type de document : texte imprimé Auteurs : V. Bobal, Auteur ; J. Böhm, Auteur ; J. Fessl, Auteur Editeur : London : Springer-Verlag Année de publication : 2005 Collection : Advanced Textbooks in Control and Signal Processing Importance : 317 p. Présentation : couv. ill. en coul., ill. Format : 23,5 cm. ISBN/ISSN/EAN : 978-1-85233-980-7 Langues : Français (fre) Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods and particular PID and linear-quadratic forms of self-tuning control. Finally, laboratory verification and experimentation will show you how to ground your theoretical knowledge in real plant control. Features: comprehensive coverage providing everything a student needs to know about self-tuning control from literature survey to the control of an experimental heat exchanger; a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formulae, code listings or made directly available as MATLAB® functions making the book particularly suitable as an aid to project work; specially written MATLAB® toolboxes convenient for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants available from springeronline.com; worked examples and tutorial exercises to guide you through the learning process. Digital Self-tuning Controllers comprises an invaluable course with which graduate students and advanced undergraduates can learn how to overcome the significant problems of putting the powerful tools of adaptive control theory into practice. The text will also be of much interest to control engineers wishing to employ the ideas of adaptive control in their designs and plant. Note de contenu : Sommaire 1 Introduction 2 Adaptive Control Systems 3 Process Modelling and Identification for Use in Self-tuning Controllers 4 Self-tuning PID Controllers 5 Algebraic Methods for Self-tuning Controller Design 6 Self-tuning Linear Quadratic Controllers 7 Computer-aided Design for Self-tuning Controllers 8 Application of Self-tuning Controllers Digital Self-Tuning Controllers : Algorithms, implementation and applications [texte imprimé] / V. Bobal, Auteur ; J. Böhm, Auteur ; J. Fessl, Auteur . - London : Springer-Verlag, 2005 . - 317 p. : couv. ill. en coul., ill. ; 23,5 cm.. - (Advanced Textbooks in Control and Signal Processing) . ISBN : 978-1-85233-980-7 Langues : Français (fre) Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods and particular PID and linear-quadratic forms of self-tuning control. Finally, laboratory verification and experimentation will show you how to ground your theoretical knowledge in real plant control. Features: comprehensive coverage providing everything a student needs to know about self-tuning control from literature survey to the control of an experimental heat exchanger; a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formulae, code listings or made directly available as MATLAB® functions making the book particularly suitable as an aid to project work; specially written MATLAB® toolboxes convenient for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants available from springeronline.com; worked examples and tutorial exercises to guide you through the learning process. Digital Self-tuning Controllers comprises an invaluable course with which graduate students and advanced undergraduates can learn how to overcome the significant problems of putting the powerful tools of adaptive control theory into practice. The text will also be of much interest to control engineers wishing to employ the ideas of adaptive control in their designs and plant. Note de contenu : Sommaire 1 Introduction 2 Adaptive Control Systems 3 Process Modelling and Identification for Use in Self-tuning Controllers 4 Self-tuning PID Controllers 5 Algebraic Methods for Self-tuning Controller Design 6 Self-tuning Linear Quadratic Controllers 7 Computer-aided Design for Self-tuning Controllers 8 Application of Self-tuning Controllers

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Parallel Computing for Real-time Signal Processing and Control / M.O. Tokhi

Public ISBD Titre : Parallel Computing for Real-time Signal Processing and Control Type de document : texte imprimé Auteurs : M.O. Tokhi, Auteur ; M.A. Hossain, Auteur ; M.H. Shaheed, Auteur Editeur : London : Springer-Verlag Année de publication : 2003 Collection : Advanced Textbooks in Control and Signal Processing Importance : 253 p. Présentation : couv. ill. en coul., ill. Format : 23,5 cm. ISBN/ISSN/EAN : 978-1-85233-599-1 Langues : Anglais (eng) Index. décimale : 25-08 Robotique.Application et simulation Résumé : The computing performance demands of modern real-time signal processing and control applications are increasing rapidly. The use of multiple processors operating in parallel allows several instructions to be dealt with simultaneously, so the requirement for "real-time" is now much easier to meet. Parallel Computing for Real-time Signal Processing and Control introduces students to the advantages of this important capability within an engineering framework. The ability of parallel processing to deal with common signal processing and control algorithms is explored. The book: - Emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures in successful computing strategies. - Demonstrates the identification of processor capabilities and how to exploit them to the fullest for different tasks. - Clearly states objectives in each chapter to allow the student to monitor his/her progress. - Uses examples and end-of-chapter exercises to facilitate self-study and guided tuition. - Offers case studies that put theoretical concepts into a practical context. Written in a tutorial style with a logical exploratory approach, Parallel Computing for Real-time Signal Processing and Control is an ideal introduction to this powerful paradigm. For advanced students in parallel computing, control and signal processing disciplines, it will be an invaluable tool in learning to get the best from their computer systems. Note de contenu : Table of contents 1. Introduction 2. Parallel Architectures 3. Performance Evaluation Issues in Real-time Computing 4. Performance Metrics 5. Parallel Programming and Multithreading 6. Algorithm Analysis and Design 7. Microprocessors: The Processing Elements of Parallel Architectures 8. Real-time Performances: Algorithms vs Architectures Appendix A. List of Abbreviations Appendix B. Hardware and Software Resources B. 1 Hardware Resources B. 1.1 Processing Elements B. 1.2 Parallel Architectures B.2 Software Support B.3 Other Supporting Resources B.3.1 TMB Motherboard B.3.2 The TTM110 Board B.3.3 Transtech Matchbox B.3.4 The TDMB410 Motherboard References. Parallel Computing for Real-time Signal Processing and Control [texte imprimé] / M.O. Tokhi, Auteur ; M.A. Hossain, Auteur ; M.H. Shaheed, Auteur . - London : Springer-Verlag, 2003 . - 253 p. : couv. ill. en coul., ill. ; 23,5 cm.. - (Advanced Textbooks in Control and Signal Processing) . ISBN : 978-1-85233-599-1 Langues : Anglais (eng) Index. décimale : 25-08 Robotique.Application et simulation Résumé : The computing performance demands of modern real-time signal processing and control applications are increasing rapidly. The use of multiple processors operating in parallel allows several instructions to be dealt with simultaneously, so the requirement for "real-time" is now much easier to meet. Parallel Computing for Real-time Signal Processing and Control introduces students to the advantages of this important capability within an engineering framework. The ability of parallel processing to deal with common signal processing and control algorithms is explored. The book: - Emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures in successful computing strategies. - Demonstrates the identification of processor capabilities and how to exploit them to the fullest for different tasks. - Clearly states objectives in each chapter to allow the student to monitor his/her progress. - Uses examples and end-of-chapter exercises to facilitate self-study and guided tuition. - Offers case studies that put theoretical concepts into a practical context. Written in a tutorial style with a logical exploratory approach, Parallel Computing for Real-time Signal Processing and Control is an ideal introduction to this powerful paradigm. For advanced students in parallel computing, control and signal processing disciplines, it will be an invaluable tool in learning to get the best from their computer systems. Note de contenu : Table of contents 1. Introduction 2. Parallel Architectures 3. Performance Evaluation Issues in Real-time Computing 4. Performance Metrics 5. Parallel Programming and Multithreading 6. Algorithm Analysis and Design 7. Microprocessors: The Processing Elements of Parallel Architectures 8. Real-time Performances: Algorithms vs Architectures Appendix A. List of Abbreviations Appendix B. Hardware and Software Resources B. 1 Hardware Resources B. 1.1 Processing Elements B. 1.2 Parallel Architectures B.2 Software Support B.3 Other Supporting Resources B.3.1 TMB Motherboard B.3.2 The TTM110 Board B.3.3 Transtech Matchbox B.3.4 The TDMB410 Motherboard References.

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Model Predictive Control / E.F. Camacho

Public ISBD Titre : Model Predictive Control Type de document : texte imprimé Auteurs : E.F. Camacho, Auteur ; C. Bordons, Auteur Mention d'édition : 2nd. ed. Editeur : London : Springer-Verlag Année de publication : 2007 Collection : Advanced Textbooks in Control and Signal Processing Importance : 405 p. Présentation : couv. ill. en coul., ill. Format : 23,6 cm. ISBN/ISSN/EAN : 978-1-85233-694-3 Langues : Anglais (eng) Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of Model Predictive Control provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Control demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications. All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC, MPC and hybrid systems and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and MATLAB(r) programs to aid in their solution can be downloaded from the authors' website. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field. Note de contenu : Contents 1 Introduction to model predictive control 2 Model predictive controllers 3 Commercial model predictive control schemes 4 Generalized predictive control 5 Simple implementation of GPC for industrial processes 6 Multivariable model predictive control 7 Constrained model predictive control 8 Robust model predictive model 9 Nonlinear model predictive control 10 Model predictive control and hybrid systems 11 Fast methods for implementing model predictive control 12 Applications -Index Model Predictive Control [texte imprimé] / E.F. Camacho, Auteur ; C. Bordons, Auteur  . -  2nd. ed. . - London : Springer-Verlag, 2007 . - 405 p. : couv. ill. en coul., ill. ; 23,6 cm.. - (Advanced Textbooks in Control and Signal Processing) . ISBN : 978-1-85233-694-3 Langues : Anglais (eng) Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of Model Predictive Control provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Control demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications. All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC, MPC and hybrid systems and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and MATLAB(r) programs to aid in their solution can be downloaded from the authors' website. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field. Note de contenu : Contents 1 Introduction to model predictive control 2 Model predictive controllers 3 Commercial model predictive control schemes 4 Generalized predictive control 5 Simple implementation of GPC for industrial processes 6 Multivariable model predictive control 7 Constrained model predictive control 8 Robust model predictive model 9 Nonlinear model predictive control 10 Model predictive control and hybrid systems 11 Fast methods for implementing model predictive control 12 Applications -Index

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