Model Reduction for Control System Design (Hardcover, 2001 ed.)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Communications and Control Engineering
Release date:	2001
First published:	2001
Authors:	Goro Obinata • Brian D. O Anderson
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	168
Edition:	2001 ed.
ISBN-13:	978-1-85233-371-3
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-85233-371-5
Barcode:	9781852333713

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