Evolutionary Learning Algorithms for Neural Adaptive Control

Specificaties
Paperback, 211 blz. | Engels
Springer London | 1997e druk, 1997
ISBN13: 9783540761617
Rubricering
Springer London 1997e druk, 1997 9783540761617
Onderdeel van serie Perspectives in Neural Computing
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783540761617
Taal:Engels
Bindwijze:paperback
Aantal pagina's:211
Uitgever:Springer London
Druk:1997

Inhoudsopgave

Introduction.- Dynamic systems and control.- The attitude control problem.- Artificial neural networks.- Neuromodels of dynamic systems.- Current neurocontrol techniques.- Genetic algorithms.- Adaptive control architectures.- Conclusions and the future.- A. Euler equations solutions.- B. An attitude control simulator.- Bibliography.- Index.

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        Evolutionary Learning Algorithms for Neural Adaptive Control