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[期刊论文]

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

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作者:

Chen, Yawen (Chen, Yawen.) | Wang, Zhuwei (Wang, Zhuwei.) | Fang, Chao (Fang, Chao.) | 展开

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EI Scopus

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. Copyright © by HIGH TECHNOLOGY LETTERS PRESS.

关键词:

Game theory Closed loop control systems Kalman filters State estimation Actuators Controllers Wireless sensor networks

作者机构:

  • [ 1 ] [Chen, Yawen]School of Information and Communications Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wang, Zhuwei]School of Information and Communications Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Fang, Chao]School of Information and Communications Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Xu, Guangshu]School of Information and Communications Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Zhang, Yanhua]School of Information and Communications Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • 张延华

    [zhang, yanhua]school of information and communications engineering, beijing university of technology, beijing; 100124, china

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来源 :

High Technology Letters

ISSN: 1006-6748

年份: 2019

期: 1

卷: 25

页码: 105-110

被引次数:

WoS核心集被引频次: 0

近30日浏览量: 2

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