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

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

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

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 (US)
Title of host publicationProceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages577-582
Number of pages6
StatePublished - Dec 11 2009
Event2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, China
Duration: Aug 27 2009Aug 29 2009

Publication series

NameProceedings of 2009 7th Asian Control Conference, ASCC 2009

Other

Other2009 7th Asian Control Conference, ASCC 2009
CountryChina
CityHong Kong
Period8/27/098/29/09

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Che, Y., Wang, J., Chan, W. L., Tsang, K. M., Wei, X. L., & Deng, B. (2009). Synchronization of chaotic neurons via variable universe adaptive fuzzy sliding mode control. In Proceedings of 2009 7th Asian Control Conference, ASCC 2009 (pp. 577-582). [5276291] (Proceedings of 2009 7th Asian Control Conference, ASCC 2009).