Title :
Direct adaptive control of unknown nonlinear systems using wavelet approximation
Author :
Liu, Shan ; Wu, Tie-Jun
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
We deal with the problem of controlling a class of unknown nonlinear dynamical systems. Based on wavelet approximation theory, a novel direct adaptive control algorithm with no explicit attempt to determine a model of the process dynamics is proposed. The controller directly tunes its adjustable parameters in response to measured deviations of the process from its desired behavior. The stability of the closed loop is proved by using Lyapunov theory
Keywords :
Lyapunov methods; adaptive control; closed loop systems; nonlinear dynamical systems; self-adjusting systems; stability; uncertain systems; wavelet transforms; Lyapunov theory; closed loop; direct adaptive control; nonlinear dynamical systems; parameter tuning; process dynamics; stability; unknown nonlinear systems; wavelet approximation; Adaptive control; Control systems; Error correction; Force control; Fourier transforms; Frequency; Nonlinear systems; Trajectory; Transfer functions; Wavelet analysis;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672882
