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作者:

Wang, Zhuwei (Wang, Zhuwei.) | Xu, Guangshu (Xu, Guangshu.) | Fang, Chao (Fang, Chao.) | Gao, Yu (Gao, Yu.) | Yang, Ruizhe (Yang, Ruizhe.)

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摘要:

Considering the distributed controllers, this paper studies the optimal control law for the wireless sensor and actuator network (WSAN) with stochastic network-induced delays. First, the structure of the WSAN including multiple controllers is presented, and the network stochastic properties such as the network delay and plant noise are analyzed. Then, the optimization problem to minimize the total cost in order to keep the system stability is formulated, and the optimal state estimation control strategy is derived using the Kalman filter approach and the non-cooperative game. Finally, the proposed algorithm is validated by the simulation experiments of a stable control system and the load frequency control system. © 2018 IEEE.

关键词:

Actuators Controllers Control system analysis Electric frequency control Game theory State estimation Stochastic systems System stability Wireless sensor networks

作者机构:

  • [ 1 ] [Wang, Zhuwei]Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Xu, Guangshu]Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Fang, Chao]Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Gao, Yu]Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Yang, Ruizhe]Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

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年份: 2018

页码: 314-319

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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