Chaos synchronization of coupled neurons under external electrical stimulation using adaptive H∞ control

Yanqiu Che, Jiang Wang, si si Zhou, Bin Deng, Feng Dong

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, H control via an adaptive neural network approach is proposed to realize the synchronization of two gap junction coupled chaotic FitzHugh—Nagumo (FHN) neurons under external electrical stimulation. The control scheme is robust to the uncertainties such as unmodelled dynamics, ionic channel noise and external disturbances. Asymptotic chaos synchronization is obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.

Original languageEnglish (US)
Pages (from-to)225-238
Number of pages14
JournalTransactions of the Institute of Measurement & Control
Volume30
Issue number3-4
DOIs
StatePublished - Jan 1 2008

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neurons
stimulation
Chaos theory
Neurons
chaos
synchronism
Synchronization
channel noise
disturbances
Neural networks
simulation

All Science Journal Classification (ASJC) codes

  • Instrumentation

Cite this

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abstract = "In this paper, H∞ control via an adaptive neural network approach is proposed to realize the synchronization of two gap junction coupled chaotic FitzHugh—Nagumo (FHN) neurons under external electrical stimulation. The control scheme is robust to the uncertainties such as unmodelled dynamics, ionic channel noise and external disturbances. Asymptotic chaos synchronization is obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.",
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Chaos synchronization of coupled neurons under external electrical stimulation using adaptive H∞ control. / Che, Yanqiu; Wang, Jiang; Zhou, si si; Deng, Bin; Dong, Feng.

In: Transactions of the Institute of Measurement & Control, Vol. 30, No. 3-4, 01.01.2008, p. 225-238.

Research output: Contribution to journalArticle

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