A New Iterative Learning Control Algorithm with Global Convergence for Nonlinear Systems

摘要：

In this paper, a new iterative learning control algorithm with global convergence for nonlinear systems is presented. By introduced a relax parameter, the global convergence of this new algorithm is obtained. The new iterative learning scheme can be used to nonlinear systems where dimensions of input controls are not equal to dimensions of the output function. The sufficient conditions of convergence of the iterative learning control algorithm are given and proved.

关键词： iterative learning control nonlinear systems gauss-newton method global convergence

作者: Jingli Rang

作者单位: Department of Mathematics Tianjin University of Finance and Economics Tianjin 300222, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 465-468

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）