An Optimal Adaptive Iterative Learning Control in Nonlinear Systems Using Perturbation Model

摘要：

An optimal adaptive iterative learning controI (A-ILC)algorithm based on perturbation modeI is proposed to handle modeI parameters change.Sufficient conditions of convergence are derived for the A-ILC.It has also been proved that the tracking error will converge to a small constant.Compared with other optimaI A-JLC.the proposed method has capacity to cope with nonlinear systems.Simulation results on a typicaI batch reactor has shown the effectiveness.

关键词： adaptive iterative learning control perturbation model nonfinear systems modelparameter variation

作者: Yixin Xu Zhihua Xiong

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 11-14

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）