会议专题

Global Convergence Analysis of a New Iterative Learning Control Algorithm with a Relax Parameter for Nonlinear Systems

A new iterative learning control scheme with a relax parameter for nonlinear systems is presented.This algorithm combines the exchange row update method with difference approximation method so that the inverse of approximation of derivatives of the output function is derived by simple recurrent formula.Moreover,a parameter index is introduced in this new iterative learning control scheme which is used to generate global convergence.Sufficient conditions for convergence of this new algorithm are given and proved.The new iterative learning control scheme has advantage of simplified calculation work in every iteration learning process and global convergence.

iterative learning control nonlinear systems global convergence relax parameter

Jingli Kang Guofeng Liu

School of Science Tianjin University of Finance and Economics Tianjin,China School of Management,Tianjin University School of Science,Tianjin University of Finance and Economic

国际会议

2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

秦皇岛

英文

248-251

2010-11-05(万方平台首次上网日期,不代表论文的发表时间)