DocumentCode
323421
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
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
722
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672882
Filename
672882
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