Global synchronization of biological network systems with time-varying delays

Xianlin Zeng, Qing Hui

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

3 Citations (Scopus)

Abstract

This paper focuses on global synchronization of a class of biological network systems with time-varying delays. In particular, an excitatory and inhibitory biological neuronal network system with time-varying delays is proposed and its global synchronization is then further investigated. Some sufficient conditions for global synchronization of this system are attained based on Barbalat's lemma and linear matrix inequalities (LMIs). Moreover, an intriguing scenario of such a system asymptotically converging to a constant time-delay system (called a limiting delay system) is also discussed, and the result is obtained by saying that the original system is globally asymptotically synchronized if the new constant time-delay system is globally asymptotically synchronized under some conditions. Two numerical examples are given to illustrate the effectiveness of the proposed results.

Original languageEnglish
Title of host publication3rd IFAC Conference on Analysis and Control of Chaotic Systems, CHAOS 2012
PublisherIFAC Secretariat
Pages75-80
Number of pages6
Edition12
ISBN (Print)9783902823021
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event3rd IFAC Conference on Analysis and Control of Chaotic Systems, CHAOS 2012 - Cancun, Mexico
Duration: 20 Jun 201222 Jun 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number12
Volume45
ISSN (Print)1474-6670

Conference

Conference3rd IFAC Conference on Analysis and Control of Chaotic Systems, CHAOS 2012
Country/TerritoryMexico
CityCancun
Period20/06/1222/06/12

Keywords

  • Biological network systems
  • Global synchronization
  • Limiting systems
  • Linear matrix inequalities (LMIs)

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