Mean-square optimal asymptotic tracking for networked systems over lossy channels

被引:0
|
作者
Lu J.-Y. [1 ]
Li J.-H. [1 ]
Su W.-Z. [1 ]
机构
[1] College of Automation Science and Technology, South China University of Technology, Guangzhou
来源
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2021年 / 38卷 / 11期
基金
中国国家自然科学基金;
关键词
Asymptotic tracking; Mean-square optimal control; Multiplicative noise; Networked control; Packet loss;
D O I
10.7641/CTA.2021.10730
中图分类号
学科分类号
摘要
For a networked feedback control system with packet loss in the communication channel, the multiplicative noise model is used to describe the channel uncertainty induced by packet loss. According to features of the networked system, a new controller structure is proposed for the asymptotic tracking problem of the networked system. The meansquare stabilizability of the system under this structure is studied. And then the equivalence between the optimal asymptotic tracking and the mean-square stabilizability is studied. On this basis, the stochastic mean-square optimal control theory is used to solve the mean-square optimal asymptotic tracking design for the system, which depends on the mean-square stabilizing solution of a modified algebraic Riccati equation (MARE). Further, we propose a new algorithm for searching the mean-square stabilizing solution to the MARE. Finally, the simulation results verify the effectiveness and feasibility of the method proposed in this paper for the optimal asymptotic tracking problem of the networked feedback system over the lossy channel. © 2021, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码:1761 / 1771
页数:10
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