Title :
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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.886552
