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 
Keywords: Adaptive fuzzy control
Chaos synchronization
FitzHugh-Nagumo (FHN) model
Robust control
Issue Date: 2010
Publisher: Springer
Source: Nonlinear dynamics, 2010, v. 61, no. 4, p. 847-857 How to cite?
Journal: Nonlinear Dynamics 
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.
URI: http://hdl.handle.net/10397/24078
DOI: 10.1007/s11071-010-9691-9
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

22
Last Week
0
Last month
0
Citations as of Sep 11, 2017

WEB OF SCIENCETM
Citations

11
Last Week
0
Last month
0
Citations as of Sep 22, 2017

Page view(s)

39
Last Week
1
Last month
Checked on Sep 25, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.