Stability of first and high order iterative learning control with data dropouts

被引：0
作者：
Xuhui Bu
Zhongsheng Hou
Fashan Yu
机构：
[1] Henan Polytechnic University,School of Electrical Engineering & Automation
[2] Beijing Jiaotong University,Department of Automatic Control, and Advanced Control Systems Laboratory, School of Electronics and Information Engineering
来源：
International Journal of Control, Automation and Systems | 2011年 / 9卷
关键词：
High-order learning scheme; iterative learning control; measurement dropout; robustness;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a stability analysis of the iterative learning control (ILC) problem for discrete-time systems when the plants are subject to output measurement data dropouts. It is assumed that data dropout occurs during the data transfers from the plant to the ILC controller, resulting in what is called intermittent ILC. Using the super-vector approach for ILC, the expectation of output error is used to develop conditions for stability of the first order ILC and high order ILC processes. Through the theoretical analysis, it is shown that the convergence of the intermittent ILC is guaranteed although some measurements are missing. The analysis is also supported by numerical examples.
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页码：843 / 849
页数：6
相关论文
共 61 条
  • [1] Arimoto S.(1984)Bettering operation of robots by learning J. of Robotic Systems 1 123-140
  • [2] Kawamura S.(2007)Iterative learning control: brief survey and categorization IEEE Trans. on Systems, Man, and Cybernetics-Part C: Applications and Reviews 37 1099-1121
  • [3] Miyazaki F.(2010)Adaptive iterative learning control for nonlinearly parameterized systems with unknown time-varying delays International Journal of Control, Automation, and Systems 8 177-186
  • [4] Ahn H. S.(2008)Feedback-based iterative learning control for MIMO LTI systems International Journal of Control, Automation, and Systems 6 269-277
  • [5] Chen Y.(2003)Robust iterative learning control design is straightforward for uncertain LTI systems satisfying the robust performance condition IEEE Trans. on Automatic Control 48 101-106
  • [6] Moore K. L.(2007)Stability analysis of discrete-time iterative learning control systems with interval uncertainty Automatica 43 892-902
  • [7] Chen W. S.(2010)A high-order internal model based iterative learning control scheme for nonlinear systems with time-iterationvarying parameters IEEE Trans. on Automatic Control 55 2665-2670
  • [8] Zhang L.(2008)A discretetime adaptive ILC for systems with iterationvarying trajectory and random initial condition Automatica 44 2207-2213
  • [9] Doh T. Y.(1999)An iterative learning controller with initial state learning IEEE Trans. on Automatic Control 44 371-376
  • [10] Ryoo J. R.(2003)Initial shift issues on discrete-time iterative learning control with system relative degree IEEE Trans. on Automatic Control 48 144-148
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