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
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)