Iterative Learning Control for Uncertain Singular System

Author

Piao, Fengxian ; Zhang, QingLing ; Wang, Zhefeng

Author_Institution

Coll. of Sci., Northeastern Univ. Shenyang

fYear

2006

fDate

20-23 Aug. 2006

Firstpage

1469

Lastpage

1474

Abstract

In this paper, the problem of iterative learning control for fast subsystem with impulse is investigated based on the Weierstrass canonical form, the sufficient condition that guarantees the convergence of P-type learning law is derived. The uncertain single input single output singular system in the present of uncertainty is discussed, the method to choose the gain matrix that the actual output converge to desired trajectory as quickly as possible is given by optimization and genetic algorithm

Keywords

adaptive control; genetic algorithms; iterative methods; learning systems; matrix algebra; uncertain systems; P-type learning law convergence; Weierstrass canonical form; fast subsystem; gain matrix; genetic algorithm; iterative learning control; optimization; uncertain singular system; Control systems; Convergence; Delay systems; Educational institutions; Genetic algorithms; Linear systems; Sufficient conditions; Tellurium; Trajectory; Uncertainty; convergence; impulse; iterative learning control; singular system; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2006 IEEE International Conference on

Conference_Location

Weihai

Print_ISBN

1-4244-0528-9

Electronic_ISBN

1-4244-0529-7

Type

conf

DOI

10.1109/ICIA.2006.305974

Filename

4097907