Hybrid Adaptive Iterative Learning Control of Time-Varying Nonlinear Systems

摘要：

A novel adaptive iterative learning control approach is proposed for a class of hybrid parametric nonlinear systems, by means of Backstepping method. The approach consisted of a differential-deference type updating law and a learning control law, can deal with the non-uniform trajectory tracking problem, in which avoids the restricted on the tracking trajectory in the traditional iterative learning control. A sufficient condition of tracking error converging to zero in the means of mean square on the finite interval is also given by constructing a novel composite energy function. A simulation example shows the feasibility and efficiency of the approach.

作者: Junmin Li Keyi Xing Penglin Li

作者单位: Department of Applied Mathematics Xidian University Xian, 710071, China Institute of System Engineering Xian Jiaotong University Xian, 710048, China School of Management Xian Science and Technology University Xian, 710054, China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）