Chaos synchronization of coupled neurons under electrical stimulation via robust adaptive fuzzy control |
| |
Authors: | Yan-Qiu Che Jiang Wang Wai-Lok Chan Kai-Ming Tsang |
| |
Institution: | 1.School of Electrical Engineering and Automation,Tianjin University,Tianjin,China;2.Department of Electrical Engineering,The Hong Kong Polytechnic University,Hong Kong,China |
| |
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: | |
本文献已被 SpringerLink 等数据库收录! |
|