The Adaptive Control for a Class of Nonlinear Systems Based on Dynamic Approximate Full Parameter Model Nonlinearization

Author

Hu, Zhiqiang

Author_Institution

Dept. of Autom., Heilongjiang Univ., Harbin, China

Volume

2

fYear

2009

fDate

26-27 Aug. 2009

Firstpage

206

Lastpage

209

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 second-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 systems; nonlinear control systems; adaptive control; dynamic approximate full parameter model nonlinearization; noise estimator; nonlinear discrete systems; nonlinear systems; recursive adaptive parameter predicting algorithm; time delays; Adaptive control; Control systems; Delay effects; Linear approximation; Nonlinear dynamical systems; Nonlinear systems; Prediction algorithms; Predictive models; Programmable control; Recursive estimation; adaptive control; dynamic approximate second-order nonlinearization; nonlinear system; recursive adaptive parameter prediction; recursive increment full parameter predicting model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on

Conference_Location

Hangzhou, Zhejiang

Print_ISBN

978-0-7695-3752-8

Type

conf

DOI

10.1109/IHMSC.2009.175

Filename

5336010