Title :
Adaptive wavelet network control design for nonlinear systems
Author :
Chen, Bor-Sen ; Cheng, Yu-Min
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
An application of wavelet networks to control problems of nonlinear systems is investigated in this paper. A wavelet network is constructed as an alternative to a neural network to approximate a nonlinear system. Based on this wavelet network approximation, suitable adaptive control laws and appropriate parameter update algorithms for nonlinear uncertain (or unknown) systems are derived to achieve H∞ tracking performance. It is shown that the effects of approximation errors and external disturbances can be attenuated to a specific attenuation level by the proposed adaptive wavelet network control scheme
Keywords :
H∞ control; MIMO systems; adaptive control; control system synthesis; feedback; function approximation; linearisation techniques; nonlinear systems; uncertain systems; H∞ control; MIMO systems; adaptive control; approximation errors; disturbance attenuation; feedback linearization; nonlinear systems; tracking; uncertain systems; wavelet network; Adaptive control; Adaptive systems; Approximation algorithms; Approximation error; Control design; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.573635
