Title :
Adaptive wavelet control of nonlinear systems
Author :
Polycarpou, Marios M. ; Mears, Mark J. ; Weaver, Scott E.
Author_Institution :
Dept. ECECS, Cincinnati Univ., OH, USA
Abstract :
This paper considers the design and analysis of adaptive wavelet control algorithms for uncertain nonlinear dynamical systems. The Lyapunov synthesis approach is used to develop a state-feedback adaptive control scheme based on nonlinearly parametrized wavelet network models. Semi-global stability results are obtained under the key assumption that the system uncertainty satisfies a “matching” condition. The localization properties of adaptive networks are discussed and formal definitions of interference and localization measures are proposed
Keywords :
Lyapunov methods; adaptive control; multivariable systems; neural nets; nonlinear dynamical systems; stability; state feedback; uncertain systems; wavelet transforms; Lyapunov synthesis; adaptive wavelet control; localization; multivariable systems; neural networks; nonlinear dynamical systems; stability; state-feedback; uncertain systems; Adaptive control; Algorithm design and analysis; Control system synthesis; Control systems; Network synthesis; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Wavelet analysis;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.652469
