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

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 proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages	577-582
Number of pages	6
Publication status	Published - 11 Dec 2009
Event	2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, Hong Kong Duration: 27 Aug 2009 → 29 Aug 2009

Conference

Conference	2009 7th Asian Control Conference, ASCC 2009
Country/Territory	Hong Kong
City	Hong Kong
Period	27/08/09 → 29/08/09

ASJC Scopus subject areas

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

Cite this

@inproceedings{b430b8f24ccd4eb3bcaa4d577c785fdb,

title = "Synchronization of chaotic neurons via variable universe adaptive fuzzy sliding mode control",

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.",

author = "Che, {Yan Qiu} and Jiang Wang and Chan, {Wai Lok} and Tsang, {Kai Ming} and Wei, {Xi Le} and Bin Deng",

year = "2009",

month = dec,

day = "11",

language = "English",

isbn = "9788995605691",

pages = "577--582",

booktitle = "Proceedings of 2009 7th Asian Control Conference, ASCC 2009",

note = "2009 7th Asian Control Conference, ASCC 2009 ; Conference date: 27-08-2009 Through 29-08-2009",

}

Synchronization of chaotic neurons via variable universe adaptive fuzzy sliding mode control. / Che, Yan Qiu; Wang, Jiang; Chan, Wai Lok et al.

Proceedings of 2009 7th Asian Control Conference, ASCC 2009. 2009. p. 577-582 5276291.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Synchronization of chaotic neurons via variable universe adaptive fuzzy sliding mode control

AU - Che, Yan Qiu

AU - Wang, Jiang

AU - Chan, Wai Lok

AU - Tsang, Kai Ming

AU - Wei, Xi Le

AU - Deng, Bin

PY - 2009/12/11

Y1 - 2009/12/11

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=71449113926&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 9788995605691

SP - 577

EP - 582

BT - Proceedings of 2009 7th Asian Control Conference, ASCC 2009

T2 - 2009 7th Asian Control Conference, ASCC 2009

Y2 - 27 August 2009 through 29 August 2009

ER -

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

Abstract

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this