Iterative Learning Control of Linear Continuous Systems with Variable Initial States Based on 2-D System Theory

摘要：

　　This paper is concerned with the variable initial states problem in iterative learning control(ILC)for linear continuous systems.Firstly,the properties of the trajectory of 2-D continuous-discrete Roesser model are analyzed by using Lyapunovs method.Then,for any variable initial states which absolutely converge to the desired initial state,some sufficient conditions in the form of linear matrix inequalities(LMI)are given to ensure the convergence of the PD-type ILC rules.It implies that the ILC rules can be used to achieve the perfect tacking for variable initial states,even if the system dynamic is unknown.Finally,two numerical examples are given to illustrate the perfect tracking performance with exponentially convergent initial states.

关键词： Iterative learning control 2-D system theory Linear continuous systems Variable initial states Linear matrix inequality

作者: Wei Guan Qiao Zhu Xu-Dong Wang Xu-Hui Liu

作者单位: Beijing Institute of Control Engineering,Beijing 100190,China School of Automation & Electrical Engineering,University of Science and Technology Beijing,Beijing 1

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 8812-8815

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）