Consensus Analysis of Multi-Agent Systems with Uncertain Switching Topology in Finite Frequency Domain

Nuo Xu, Yanzheng Zhu, Rongni Yang, Xinkai Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, the issue of consistency analysis is investigated for a class of multi-agent system (MAS) with time-varying delay and uncertain switching topology in finite frequency domain. The dynamic topology is represented by continuous Markov switching state. The frequency bands of external noise interference are divided into low frequency, medium frequency and high frequency. The noise interference information is fully utilized to guarantee the stability of MAS. At the same time, the affine Bessel-Legendre inequality method is used when carrying out the consistency analysis. The obtained results are represented as the form of linear matrices inequalities. Finally, a series of simulations are illustrated to show the effectiveness and applicability of developed approaches in this paper.

Original languageEnglish
Title of host publication2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages721-727
Number of pages7
ISBN (Electronic)9781728162461
DOIs
Publication statusPublished - 2020 Nov 13
Event7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020 - Guangzhou, China
Duration: 2020 Nov 132020 Nov 15

Publication series

Name2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

Conference

Conference7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
CountryChina
CityGuangzhou
Period20/11/1320/11/15

Keywords

  • Affine Bessel-Legendre method
  • Finite frequency domain
  • Markov switching state
  • Multi-agent system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Control and Optimization
  • Communication

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