Iterative Learning Control for a Class of Linear Discrete-time Switched Systems  

作　　者：BU Xu-Hui YU Fa-Shan HOU Zhong-Sheng WANG Fu-Zhong 

机构地区：[1]School of Electrical Engineering and Automation, Henan Poly-technic University, Jiaozuo 454000, China [2]Advanced ControlSystems Laboratory, School of Electronics and Information Engi-neering, Beijing Jiaotong University, Beijing 100044, China

出　　处：《自动化学报》2013年第9期1564-1569,共6页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation ot China （61203065, 61120106009）, the Program of Natural Science of Henan Provincial Education Department （12A510013）, and the Program of Open Laboratory Foundation of Control Engineering Key Discipline of Henan Provincial High Education （KG 2011-10）

摘　　要：在这份报纸，反复的学习控制(ILC ) 与任意的切换的信号为线性分离时间的交换系统的一个类被考虑。交换系统重复地在有限时间间隔期间被操作，这被假定，然后第一个顺序 P 类型 ILC 计划能被用来完成完美的追踪在上自始至终间隔。由超级向量途径，为在重复领域的如此的 ILC 系统的一个集中条件能被给。理论分析被模拟支持。In this paper, the iterative learning control （ILC） is considered for a class of linear discrete-time switched systems with arbitrary switching signals. It is assumed that the switched system is operated during a finite time interval repetitively, and then the first order P-type ILC scheme can be used to achieve perfect tracking over the whole time interval. By the super vector approach, a convergence condition for such ILC systems in the iteration domain can be given. The theoretical analysis is supported by simulations.

关 键 词：迭代学习控制 切换系统 离散时间 线性 时间间隔 向量方法 收敛条件 C系统 

分 类 号：TP273.22[自动化与计算机技术—检测技术与自动化装置] TP273[自动化与计算机技术—控制科学与工程]