The Adaptive Control for a Class of Nonlinear Systems Based on Dynamic Approximate Non-Linearization

Author

Hu Zhi-qiang

Author_Institution

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

fYear

2006

fDate

7-11 Aug. 2006

Firstpage

293

Lastpage

297

Abstract

The adaptive control algorithm, its parameter adaptive recursive predicting and noise estimator is presented for a class of nonlinear discrete-time systems with multiple time delays based on dynamic approximate second-order nonlinear increment minimized recursive predicting model method. The adaptive control is employed for nonlinear systems with heavy multiple time delays. The simulation result for several typical nonlinear systems are given to demonstrate the correctness and effectiveness of approach proposed.

Keywords

adaptive control; approximation theory; delays; discrete time systems; nonlinear control systems; adaptive control; dynamic approximate second-order nonlinearization; increment minimized recursive predictive model; multiple time delay; noise estimator; nonlinear discrete-time system; parameter adaptive recursive prediction; Adaptive control; Automation; Delay effects; Delay estimation; Electronic mail; IEEE catalog; Nonlinear systems; Predictive models; Programmable control; Recursive estimation; adaptive control; dynamic approximate second-order non-linearization; increment minimized recursive predictive model; nonlinear systems; parameter adaptive recursive predicting;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2006. CCC 2006. Chinese

Conference_Location

Harbin

Print_ISBN

7-81077-802-1

Type

conf

DOI

10.1109/CHICC.2006.280973

Filename

4060521