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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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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Source :

Year: 2018

Page: 314-319

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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