Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24078
Title: Chaos synchronization of coupled neurons under electrical stimulation via robust adaptive fuzzy control
Authors: Che, YQ
Wang, J
Chan, WL 
Tsang, KM 
Issue Date: 2010
Source: Nonlinear dynamics, 2010, v. 61, no. 4, p. 847-857
Abstract: This paper presents a robust adaptive fuzzy controller to synchronize two gap junction coupled chaotic FitzHugh-Nagumo (FHN) neurons under external electrical stimulation. A variable universe adaptive fuzzy approximator is used to approximate the nonlinear uncertain function of the synchronization error system. Based on the Lyapunov stability theory, the obtained adaptive laws of fuzzy algorithm not only guarantee the stability of the closed loop error system, but also attenuate the influence of matching error and external disturbance on synchronization error to an arbitrarily desired level. Chaos synchronization is obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.
Keywords: Adaptive fuzzy control
Chaos synchronization
FitzHugh-Nagumo (FHN) model
Robust control
Publisher: Springer
Journal: Nonlinear Dynamics 
DOI: 10.1007/s11071-010-9691-9
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