DocumentCode
2264941
Title
Iterative learning control for a general class of nonlinear feedback systems
Author
Chong-Ho Choi ; Jang, Tae-Jeong
Author_Institution
Dept. of Control & Instrum. Eng., Seoul Nat. Univ., South Korea
Volume
3
fYear
1995
fDate
21-23 Jun 1995
Firstpage
2444
Abstract
An iterative learning control is studied for a general class of nonlinear systems with a feedback controller and an input saturator. The nonlinear systems of the form x˙=f(x,u), y=h(x,u) are considered. The learning law updates the feedforward input from the plant input of the previous trial. A sufficient condition which guarantees the convergence of the learning is given
Keywords
closed loop systems; convergence of numerical methods; intelligent control; iterative methods; learning (artificial intelligence); learning systems; nonlinear control systems; convergence; feedforward input; input saturator; iterative learning control; nonlinear feedback systems; sufficient condition; Adaptive control; Control systems; Convergence; Feedback control; Instruments; Linear feedback control systems; Nonlinear control systems; Nonlinear systems; Open loop systems; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.531413
Filename
531413
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