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DSC-backstepping based robust adaptive NN control for strict-feedback nonlinear systems via small gain theorem

DSC-backstepping based robust adaptive NN control for strict-feedback nonlinear systems via small... The adaptive tracking control problem is discussed for a class of strict-feedback uncertain systems. RBF Neural Networks are used to approximate the uncertainties. A unified and systematic procedure is developed to derive a robust adaptive tracking controller with the fusion of dynamic surface control technique and small gain approach. The proposed algorithm can avoid both problems of 'explosion of complexity' and 'curse of dimension' synchronously, thus is convenient to implement in applications. The stability of the closed-loop system is proved. Finally, simulation results via two application examples validate the effectiveness and performance of the proposed scheme. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Systems, Control and Communications Inderscience Publishers

DSC-backstepping based robust adaptive NN control for strict-feedback nonlinear systems via small gain theorem

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1755-9340
eISSN
1755-9359
DOI
10.1504/IJSCC.2008.019587
Publisher site
See Article on Publisher Site

Abstract

The adaptive tracking control problem is discussed for a class of strict-feedback uncertain systems. RBF Neural Networks are used to approximate the uncertainties. A unified and systematic procedure is developed to derive a robust adaptive tracking controller with the fusion of dynamic surface control technique and small gain approach. The proposed algorithm can avoid both problems of 'explosion of complexity' and 'curse of dimension' synchronously, thus is convenient to implement in applications. The stability of the closed-loop system is proved. Finally, simulation results via two application examples validate the effectiveness and performance of the proposed scheme.

Journal

International Journal of Systems, Control and CommunicationsInderscience Publishers

Published: Jan 1, 2008

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