Study on optimal state estimation strategy with dual distributed controllers based on Kalman filtering

被引：0

作者：

陈雅雯 ^{[1
]}

Wang Zhuwei ^{[1
]}

Fang Chao ^{[1
]}

Xu Guangshu ^{[1
]}

Zhang Yanhua ^{[1
]}

机构：

[1] School of Information and Communications Engineering,Beijing University of Technology

来源：

High Technology Letters | 2019年 / 25卷 / 01期

基金：

中国国家自然科学基金;

关键词：

optimal state estimation strategy; wireless sensor and actuator network(WSAN); distributed controllers; Kalman filter; network-induced delays;

D O I：

暂无

中图分类号：

TP13 [自动控制理论]; TN713 [滤波技术、滤波器];

学科分类号：

0711 ; 071102 ; 080902 ; 0811 ; 081101 ; 081103 ;

摘要：

Considering dual distributed controllers, a design of optimal state estimation strategy is studied for the wireless sensor and actuator network(WSAN). In particular, the optimal linear quadratic(LQ) control strategy with estimated plant state is formulated as a non-cooperative game with network-induced delays. Then, using the Kalman filter approach, an optimal estimation of the plant state is obtained based on the information fusion of the distributed controllers. Finally, an optimal state estimation strategy is derived as a linear function of the current estimated plant state and the last control strategy of multiple controllers. The effectiveness of the proposed closed-loop control strategy is verified by the simulation experiments.

引用

页码：105 / 110

页数：6

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