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Evolutionary Learning Algorithms for Neural Adaptive Control : Perspectives in Neural Computing - Dimitris C. Dracopoulos

Evolutionary Learning Algorithms for Neural Adaptive Control

Perspectives in Neural Computing

Paperback

Published: 15th August 1997
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Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.

Introductionp. 1
Dynamic Systems and Controlp. 5
The Attitude Control Problemp. 23
Artificial Neural Networksp. 47
Neuromodels of Dynamic Systemsp. 71
Current Neurocontrol Techniquesp. 97
Genetic Algorithmsp. 111
Adaptive Control Architecturep. 133
Conclusions and the Futurep. 165
Euler Equations Solutionsp. 169
An Attitude Control Simulatorp. 179
Bibliographyp. 187
Indexp. 207
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540761617
ISBN-10: 3540761616
Series: Perspectives in Neural Computing
Audience: General
Format: Paperback
Language: English
Number Of Pages: 211
Published: 15th August 1997
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.52 x 15.55  x 1.37
Weight (kg): 0.35