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Author:

Wang, Zhuwei (Wang, Zhuwei.) | Guo, Yuehui (Guo, Yuehui.) | Gao, Yu (Gao, Yu.) | Fang, Chao (Fang, Chao.) | Li, Meng (Li, Meng.) | Sun, Enchang (Sun, Enchang.)

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EI

Abstract:

Wireless sensor and actuator networks (WSANs), as the promising technologies to realize efficient and energy-saving control, recently have been one of the main research focuses in academic fields as well as in control applications. In this paper, considering the network-induced delays, the joint design of optimal control strategy and power consumption for WSANs is addressed. First, the WSAN system with multiple transmission paths is modeled as a linear system and the joint optimization problem is formulated by using a quadratic cost function. Then, a two-step control scheme is presented to realize the joint design of control law and power consumption. In particular, the optimal control strategy for each given path is iteratively derived, and then the optimal transmission path is selected with the minimum system cost. Finally, numerical simulations in both generic control systems and power grid systems demonstrate the effectiveness of the proposed control scheme. © 2019 IEEE.

Keyword:

Control theory Electric power system control Optimal control systems Power control Actuators Cost functions Electric power transmission networks Wireless sensor networks Electric power utilization Energy conservation Linear systems

Author Community:

  • [ 1 ] [Wang, Zhuwei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Guo, Yuehui]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Gao, Yu]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Fang, Chao]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Li, Meng]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Sun, Enchang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

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Year: 2019

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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