The adaptive control for a class of nonlinear systems based on dynamic approximate any higher-order full parameter model nonlinearization

Author

Hu Zhiqiang ; Sheng Yongliang ; Liu Yong ; Li Zhenyu ; Xu Zhonghui ; Liu Siming

Author_Institution

Heilongjiang Univ., Harbin, China

fYear

2010

fDate

29-31 July 2010

Firstpage

2129

Lastpage

2133

Abstract

The adaptive control law, the noise estimator and the recursive adaptive parameter predicting algorithm are presented for a class of nonlinear discrete systems with multiple time delays based on dynamic approximate any higher-order increment full parameter recursive predicting model nonlinearization. They realize the adaptive control for the time-delayed nonlinear systems with larger time delays. The simulation results for several typical nonlinear systems show the correctness and effectiveness of the proposed algorithm.

Keywords

adaptive control; approximation theory; delays; discrete time systems; linearisation techniques; noise measurement; nonlinear control systems; predictive control; recursive estimation; simulation; time-varying systems; adaptive control; dynamic approximate any higher-order model nonlinearization; full parameter recursive predicting model nonlinearization; multiple time delays; noise estimator; nonlinear discrete system; recursive adaptive parameter predicting algorithm; Adaptation model; Adaptive control; Heuristic algorithms; Noise; Nonlinear systems; Prediction algorithms; Predictive models; Adaptive control; Dynamic Approximate Any Higher-order Nonlinearization; Nonlinear system; Recursive Adaptive Parameter Prediction; Recursive Increment full Parameter Predicting Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2010 29th Chinese

Conference_Location

Beijing

Print_ISBN

978-1-4244-6263-6

Type

conf

Filename

5573626