TY - GEN
T1 - Synchronization of chaotic neurons via variable universe adaptive fuzzy sliding mode control
AU - Che, Yanqiu
AU - Wang, Jiang
AU - Chan, Wai Lok
AU - Tsang, Kai Ming
AU - Wei, Xi Le
AU - Deng, Bin
PY - 2009
Y1 - 2009
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
UR - http://www.scopus.com/inward/citedby.url?scp=71449113926&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:71449113926
SN - 9788995605691
T3 - Proceedings of 2009 7th Asian Control Conference, ASCC 2009
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 -