Stability of Iterative Learning Control with Data Dropouts via Asynchronous Dynamical System

作     者：Xu-Hui Bu Zhong-Sheng Hou 

作者机构：Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 PRC 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2011年第8卷第1期

页      面：29-36页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：supported by General Program (No. 60774022) State Key Program (No. 60834001) of National Natural Science Foundation of China 

主　　题：Iterative learning control (ILC) networked control systems (NCSs) data dropouts asynchronous dynamical system robustness. 

摘      要：In this paper, the stability of iterative learning control with data dropouts is discussed. By the super vector formulation, an iterative learning control （ILC） system with data dropouts can be modeled as an asynchronous dynamical system with rate constraints on events in the iteration domain. The stability condition is provided in the form of linear matrix inequalities （LMIS） depending on the stability of asynchronous dynamical systems. The analysis is supported by simulations.