Nonlinear Identification and Control - A Neural Network Approach (Hardcover, 2001 ed.)

The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It consists of three parts:- an introduction to the fundamental principles of neural networks;- several methods for nonlinear identification using neural networks;- various techniques for nonlinear control using neural networks.A number of simulated and industrial examples are used throughout the monograph to demonstrate the operation of nonlinear identification and control techniques using neural networks. It should be emphasised that the methods and systems of nonlinear control have not progressed as rapidly as those for linear control. Comparatively speaking, at the present time, they are still in the development stage. We believe that the fundamental theory, various design methods and techniques, and several applications of nonlinear identification and control using neural networks that are presented in this monograph will enable the reader to analyse and synthesise nonlinear control systems quantitatively.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advances in Industrial Control
Release date:	September 2001
First published:	2001
Authors:	G.P. Liu
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	210
Edition:	2001 ed.
ISBN-13:	978-1-85233-342-3
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-85233-342-1
Barcode:	9781852333423

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