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Model Reduction for Control System Design

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Title: Model Reduction for Control System Design
Author: Anderson, Brian D.O., Goro, Obinata
ISBN: 1852333715 / 9781852333713
Format: Hard Cover
Pages: 183
Publisher: Springer Verlag
Year: 2001
Availability: Out of Stock
     
 
  • Description
  • Contents

Modern methods of filter design and controller design often yield systems of very high order, posing a problem for their implementation. Over the past two decades or so, sophisticated methods have been developed to achieve simplification of filters and controllers. Such methods often come with easy-to-use error bounds, and in the case of controller simplification methods, such error bounds will usually be related to closed-loop properties.This book is the first comprehensive treatment of approximation methods for filters and controllers. It is fully up to date, and it is authored by two leading researchers who have personally contributed to the development of some of the methods. Balanced truncation, Hankel norm reduction, multiplicative reduction, weighted methods and coprime factorization methods are all discussed.The book is amply illustrated with examples, and will equip practising control engineers and graduates for intelligent use of commercial software modules for model and controller reduction.


Preface
Acknowledgements
Contents
List of Figures
Key Notation

Chapter 1 : Methods for Model Reduction
Chapter 2 : Multiplicative Approximation
Chapter 3 : Low Order Controller Design
Chapter 4 : Model and Controller Reduction Based on Coprime Factorizations

Bibliography
Index

 
 
 
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