Iterative Learning Control for Networked Stochastic Systems with Random Measurement Losses

被引：0
|
作者：
Shen, Dong [1 ]
Wang, Youqing [1 ]
机构：
[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China
来源：
26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年
关键词：
Iterative Learning Control; Networked Stochastic System; Random Packet Losses; Stochastic Approximation; NONLINEAR-SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The iterative learning control (ILC) is constructed for the discrete-time stochastic systems with random measurement losses modeled by a stochastic sequence. A simple P-type update law is used and the almost sure convergence is strictly proved for both linear case and nonlinear case based on stochastic approximation. Illustrative examples show the effectiveness of the proposed approach.
引用
收藏
页码：4981 / 4986
页数：6
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