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Author:

Wang, Zhuwei (Wang, Zhuwei.) | Guo, Yuehui (Guo, Yuehui.) | Sun, Yang (Sun, Yang.) | Fang, Chao (Fang, Chao.) | Wu, Wenjun (Wu, Wenjun.)

Indexed by:

EI Scopus

Abstract:

Wireless sensor actuator network (WSAN) emerges as a potential technology with the capacities of self-organizing communication and feedback control. In this paper, we present a novel collaborative optimization algorithm of plant control and system cost toward WSANs taking time delay into account. First, the WSAN model is formulated as a linear system with multipath network structure. In order to provide effective control and reduce the usage of system resource, the quadratic cost function is introduced as the collaborative optimization problem in discrete-time domain. Then, a two-phase design is proposed to derive the design of optimal control for each given path in terms of a backward recursion. In addition, the best transmission path selection is obtained depending on minimal system power consumption. Finally, numerical simulations are utilized to show the effectiveness of the proposed algorithm in both traditional control system and load frequency control in the power grid application. © 2020 IEEE.

Keyword:

Wireless sensor networks Discrete time control systems Optimization Electric power transmission networks Delay control systems Linear systems Actuators Electric frequency control Cost functions Electric power system control

Author Community:

  • [ 1 ] [Wang, Zhuwei]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, China
  • [ 2 ] [Guo, Yuehui]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, China
  • [ 3 ] [Sun, Yang]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, China
  • [ 4 ] [Fang, Chao]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, China
  • [ 5 ] [Wu, Wenjun]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, China

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ISSN: 1525-3511

Year: 2020

Volume: 2020-May

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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