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Discrete-Time High Order Neural Control

Trained with Kalman Filtering
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783540782896
Veröffentl:
2008
Seiten:
110
Autor:
Edgar N. Sanchez
Serie:
Studies in Computational Intelligence
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

The objective of this work is to present recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, in order to guarantee its properties; in addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. In order to complete the treatment of these schemes, the book includes a chapter presenting experimental results related to their application to an electric three phase induction motor, which show the applicability of such designs. The proposed schemes could be employed for different applications beyond the ones presented in this book.
Mathematical Preliminaries.- Discrete-Time Adaptive Neural Backstepping.- Discrete-Time Block Control.- Discrete-Time Neural Observers.- Discrete-Time Output Trajectory Tracking.- Real Time Implementation.- Conclusions and Future Work.

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