Iterative Learning Control for Networked Stochastic Systems with Random Measurement Losses

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.

关键词： Iterative Learning Control Networked Stochastic System Random Packet Losses Stochastic Approximation

作者: Dong Shen Youqing Wang

作者单位: College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,P.R.China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 4981-4986

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）