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Intelligent Observer and Control Design for Nonlinear Systems - Dierk Schroder

Intelligent Observer and Control Design for Nonlinear Systems

By: Dierk Schroder (Contribution by), U. Lenz (Contribution by), M. Beuschel (Contribution by), F.D. Hangl (Contribution by), T. Frenz (Contribution by)

Hardcover Published: January 2000
ISBN: 9783540636397
Number Of Pages: 339

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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.

Introduction - Control Aspectsp. 1
Motion Controlp. 19
Learning in Control Engineeringp. 67
Nonlinear Function Approximatorsp. 83
Systematic Intelligent Observer Designp. 105
Identification of Separable Nonlinearitiesp. 135
Identification and Compensation of Frictionp. 149
Detection and Identification of Backlashp. 167
Identification of Isolated Nonlinearities in Rolling Millsp. 189
Input-Output Linearization: an Introductionp. 217
Stable Model Reference Neurocontrolp. 235
Dynamic Neural Network Compositionsp. 255
Further Strategies for Nonlinear Control with Neural Networksp. 283
List of Figuresp. 336
Indexp. 337
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540636397
ISBN-10: 3540636390
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 339
Published: January 2000
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 2.06
Weight (kg): 0.68

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