Intelligent Observer and Control Design for Nonlinear Systems

By: Dierk SchrÃ¶der (Editor), D. SchrÃ¶der (Contribution by), U. Lenz (Contribution by)

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Hardcover | 1 January 2000

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Hardcover
358 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

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Control theory of nonlinear systems, in which either the linear part is known but the relevant nonlinearities in place, kind or parameters are unknown, or both the linear and the nonlinear parts are partially or even most unknown, is a new, demanding and highly interesting field. This book treats the problem by focussing on the role of learning. Intelligent learning techniques are able to determine the unknown components of nonlinear systems. These processes are always stable and convergent. The methods presented can be used both on-line and off-line. They have applications in mechatronics, hydraulics and combustion engines.

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Introduction - Control Aspects	p. 1
Motion Control	p. 19
Learning in Control Engineering	p. 67
Nonlinear Function Approximators	p. 83
Systematic Intelligent Observer Design	p. 105
Identification of Separable Nonlinearities	p. 135
Identification and Compensation of Friction	p. 149
Detection and Identification of Backlash	p. 167
Identification of Isolated Nonlinearities in Rolling Mills	p. 189
Input-Output Linearization: an Introduction	p. 217
Stable Model Reference Neurocontrol	p. 235
Dynamic Neural Network Compositions	p. 255
Further Strategies for Nonlinear Control with Neural Networks	p. 283
List of Figures	p. 336
Index	p. 337
Table of Contents provided by Blackwell. All Rights Reserved.

Intelligent Observer and Control Design for Nonlinear Systems

At a Glance

Hardcover

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How to return your order

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