<p>This book gives an introduction to H-infinity and H2 control for linear time-varying systems. Chapter 2 is concerned with continuous-time systems while Chapter 3 is devoted to discrete-time systems.<BR>The main aim of this book is to develop the H-infinity and H2 theory for jump systems and to ap
Linear Time Varying Systems and Sampled-data Systems
โ Scribed by Akira Ichikawa, Hitoshi Katayama
- Publisher
- Springer
- Year
- 2001
- Tongue
- English
- Leaves
- 370
- Series
- Lecture Notes in Control and Information Sciences
- Edition
- 1st Edition.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book gives an introduction to H-infinity and H2 control for linear time-varying systems. Chapter 2 is concerned with continuous-time systems while Chapter 3 is devoted to discrete-time systems.The main aim of this book is to develop the H-infinity and H2 theory for jump systems and to apply it to sampled-data systems. The jump system gives a natural state space representation of sampled-data systems, and original signals and parameters are maintained in the new system. Two earlier chapters serve as preliminaries. Chapter 4 introduces jump systems and develops the H-infinity and H2 theory for them. It is then applied to sampled-data systems in Chapter 5.The new features of this book are as follows: The H-infinity control theory is developed for time-varying systems with initial uncertainty. Recent results on the relation of three Riccati equations are included. The H2 theory usually given for time-invariant systems is extended to time-varying systems. The H-infinity and H2 theory for sampled-data systems is established from the jump system point of view. Extension of the theory to infinite dimensional systems and nonlinear systems is discussed. This covers the sampled-data system with first-order hold. In this book 16 examples and 40 figures of computer simulations are included.The reader can find the H-infinity and H2 theory for linear time-varying systems and sampled-data systems developed in a unified manner. Some arguments inherent to time varying systems or the jump system point of view to sampled-data systems may give new insights into the system theory of time-invariant systems and sampled-data systems.
โฆ Table of Contents
Preface......Page 6
Contents......Page 8
1. Introduction......Page 11
2. Continuous-time Systems......Page 16
3. Discrete-time Systems......Page 104
4. Jump Systems......Page 192
5. Sampled-data Systems......Page 299
6. Further Developments......Page 328
Appendix......Page 356
References......Page 360
Index......Page 366
Lecture Notes in Control and Information Sciences......Page 369
๐ SIMILAR VOLUMES
<p><p><i>Sampled-data Models for Linear and Nonlinear Systems</i> provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, wit
<p><p><i>Sampled-data Models for Linear and Nonlinear Systems</i> provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, wit
<p><p><i>Sampled-data Models for Linear and Nonlinear Systems</i> provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, wit
<p><p>The aim of this book is to propose a new approach to analysis and control of linear time-varying systems. These systems are defined in an intrinsic way, i.e., not by a particular representation (e.g., a transfer matrix or a state-space form) but as they are actually. The system equations, deri