Analysis of current cycle error assisted iterative learning control for discrete nonlinear time-varying systems

Author

Pi, Daoying ; Seborg, Dale ; Shou, Jianxia ; Sun, Youxian ; Lin, Qing

Author_Institution

Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China

Volume

5

fYear

2000

fDate

2000

Firstpage

3508

Abstract

Iterative learning control (ILC) is a simple and effective method for the control of systems that perform same task repetitively. In this paper, a current cycle error assisted ILC scheme for a class of discrete nonlinear time-varying systems is presented. Under a few reasonable assumptions, sufficient conditions for guaranteeing the convergence of the learning scheme are given and then proved by an inductive method. It is shown that the conditions are independent of the specific form of the state space model. Finally, some simulation results are given to illustrate the new control strategy

Keywords

intelligent control; learning (artificial intelligence); nonlinear control systems; time-varying systems; convergence; current cycle error; discrete nonlinear time-varying systems; inductive method; iterative learning control; state space model; Control systems; Convergence; Error correction; Iterative methods; Moon; Nonlinear control systems; Performance analysis; Sufficient conditions; Sun; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2000 IEEE International Conference on

Conference_Location

Nashville, TN

ISSN

1062-922X

Print_ISBN

0-7803-6583-6

Type

conf

DOI

10.1109/ICSMC.2000.886552

Filename

886552