A discrete iterative learning control for a class of nonlinear time-varying systems

Author

Chien, Chiang-Ju

Author_Institution

Dept. of Electron. Eng., Hua Fan Univ., Taipei, Taiwan

Volume

43

Issue

5

fYear

1998

fDate

5/1/1998 12:00:00 AM

Firstpage

748

Lastpage

752

Abstract

A discrete iterative learning control is presented for a class of discrete-time nonlinear time-varying systems with initial state error, input disturbance, and output measurement noise. A feedforward learning algorithm is designed under a stabilizing controller and is updated by more than one past control data in the previous trials. A systematic approach is developed to analyze the convergence and robustness of the proposed learning scheme. It is shown that the learning algorithm not only solves the convergence and robustness problems but also improves the learning rate for discrete-time nonlinear time-varying systems

Keywords

control system synthesis; convergence; discrete time systems; feedforward; learning systems; nonlinear control systems; robust control; time-varying systems; discrete iterative learning control; discrete-time nonlinear time-varying systems; feedforward learning algorithm; input disturbance; output measurement noise; robustness problems; Automatic control; Control systems; Delay lines; Delay systems; Differential equations; Linear systems; Nonlinear control systems; Robust control; Stability; Time varying systems;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.668852

Filename

668852