Synchronization of chaotic neurons via variable universe adaptive fuzzy sliding mode control

Yan Qiu Che, Jiang Wang, Wai Lok Chan, Kai Ming Tsang, Xi Le Wei, Bin Deng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, a hybrid control strategy, variable universe adaptive fuzzy sliding mode control, is proposed to realize the chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons under external electrical stimulation. According to the Lyapunov stability theory, the stability of the closed error system is guaranteed. The control scheme is robust to the uncertainties such as approximate error, ionic channel noise and external disturbances. Chaos synchronization are obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.
Original languageEnglish
Title of host publicationProceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages577-582
Number of pages6
Publication statusPublished - 11 Dec 2009
Event2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, Hong Kong
Duration: 27 Aug 200929 Aug 2009

Conference

Conference2009 7th Asian Control Conference, ASCC 2009
CountryHong Kong
CityHong Kong
Period27/08/0929/08/09

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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