Robust output synchronization control of master-slave FitzHugh-Nagumo neurons

Yu Liang Liu; Jiang Wang; Xi Le Wei; Bin Deng; Yan Qiu Che; Chun Xiao Han; Hong Rui Bian

Robust output synchronization control of master-slave FitzHugh-Nagumo neurons

Yu Liang Liu, Jiang Wang, Xi Le Wei, Bin Deng, Yan Qiu Che, Chun Xiao Han, Hong Rui Bian

Research output: Contribution to journal › Article › peer-review

Abstract

Internal model control method was applied to the synchronous control of chaos attractor, and suitable state feedback controller was designed by introducing the internal model to guarantee the semiglobal Lyapunov asymptotic stability of robust output synchronization for the master-slave FitzHugh-Nagumo neurons under the unknown parameters and heterogeneous disturbances. The simulation results demonstrate the validity of the proposed method.

Original language	English (US)
Pages (from-to)	2200-2205
Number of pages	6
Journal	Xitong Fangzhen Xuebao / Journal of System Simulation
Volume	23
Issue number	10
State	Published - Oct 2011

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Aerospace Engineering
Computer Science Applications

Cite this

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title = "Robust output synchronization control of master-slave FitzHugh-Nagumo neurons",

abstract = "Internal model control method was applied to the synchronous control of chaos attractor, and suitable state feedback controller was designed by introducing the internal model to guarantee the semiglobal Lyapunov asymptotic stability of robust output synchronization for the master-slave FitzHugh-Nagumo neurons under the unknown parameters and heterogeneous disturbances. The simulation results demonstrate the validity of the proposed method.",

author = "Liu, {Yu Liang} and Jiang Wang and Wei, {Xi Le} and Bin Deng and Che, {Yan Qiu} and Han, {Chun Xiao} and Bian, {Hong Rui}",

year = "2011",

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language = "English (US)",

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journal = "Xitong Fangzhen Xuebao / Journal of System Simulation",

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T1 - Robust output synchronization control of master-slave FitzHugh-Nagumo neurons

AU - Liu, Yu Liang

AU - Wang, Jiang

AU - Wei, Xi Le

AU - Deng, Bin

AU - Che, Yan Qiu

AU - Han, Chun Xiao

AU - Bian, Hong Rui

PY - 2011/10

Y1 - 2011/10

N2 - Internal model control method was applied to the synchronous control of chaos attractor, and suitable state feedback controller was designed by introducing the internal model to guarantee the semiglobal Lyapunov asymptotic stability of robust output synchronization for the master-slave FitzHugh-Nagumo neurons under the unknown parameters and heterogeneous disturbances. The simulation results demonstrate the validity of the proposed method.

AB - Internal model control method was applied to the synchronous control of chaos attractor, and suitable state feedback controller was designed by introducing the internal model to guarantee the semiglobal Lyapunov asymptotic stability of robust output synchronization for the master-slave FitzHugh-Nagumo neurons under the unknown parameters and heterogeneous disturbances. The simulation results demonstrate the validity of the proposed method.

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M3 - Article

AN - SCOPUS:80054781814

SN - 1004-731X

VL - 23

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JO - Xitong Fangzhen Xuebao / Journal of System Simulation

JF - Xitong Fangzhen Xuebao / Journal of System Simulation

IS - 10

ER -

Robust output synchronization control of master-slave FitzHugh-Nagumo neurons

Abstract

All Science Journal Classification (ASJC) codes

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