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
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;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.531413
