The adaptive control for nonlinear systems based on dynamic approximate any higher-order Hammerstein model

Author

Hu, Zhiqiang ; Sun, Xiaojun ; Chen, Longfa ; Liu, Siming

Author_Institution

Electr. Eng. Inst., Heilongjiang Univ., Harbin, China

Volume

1

fYear

2011

fDate

25-28 July 2011

Firstpage

38

Lastpage

41

Abstract

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

Keywords

adaptive control; delays; discrete time systems; nonlinear control systems; recursive estimation; adaptive control law; dynamic approximate; higher-order Hammerstein model; increment minimized recursive predicting model; nonlinear discrete-time systems; recursive adaptive parameter predicting algorithm unified form; time delays; time-delayed nonlinear systems; Adaptation models; Adaptive control; Algorithm design and analysis; Approximation algorithms; Heuristic algorithms; Nonlinear systems; Prediction algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-0813-8

Type

conf

DOI

10.1109/ICICIP.2011.6008194

Filename

6008194