Distributed synchronization control of complex networks with communication constraints and random controller failures

Zhenhua Xu, Dan Zhang, Qing Guo Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The synchronization control for a class of discrete-time complex networks with communication constraints and random controller failures is investigated in this paper. The hierarchical control framework is proposed consisting of distributed controllers in the upper-layer and the target plants in the lower-layer. Due to the communication constraints in the upper-layer, the strategies such as measurement size reduction and transmission rate reduction are introduced. To capture the practical system more closely, the random controller failure problem is also addressed. Based on the switched system approach, a sufficient condition is obtained such that the tracking error system is exponentially stable in the mean-square sense. The controller gains are determined by solving an optimization problem. Finally, the effectiveness of the proposed results is illustrated by a simulation example.

Original languageEnglish
Title of host publicationProceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages380-385
Number of pages6
ISBN (Electronic)9781538621035
DOIs
Publication statusPublished - 2 Jul 2017
Event12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017 - Siem Reap, Cambodia
Duration: 18 Jun 201720 Jun 2017

Publication series

NameProceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Volume2018-February

Conference

Conference12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Country/TerritoryCambodia
CitySiem Reap
Period18/06/1720/06/17

Keywords

  • communication constraints
  • complex networks
  • random controller failure
  • synchronization control

ASJC Scopus subject areas

  • Control and Optimization
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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