期刊
NONLINEAR DYNAMICS
卷 61, 期 4, 页码 847-857出版社
SPRINGER
DOI: 10.1007/s11071-010-9691-9
关键词
Chaos synchronization; FitzHugh-Nagumo (FHN) model; Adaptive fuzzy control; Robust control
资金
- National Natural Science Foundation of China [50537030, 50707020, 60901035, 50907044]
- National Science Foundation for Post-doctoral Scientists of China [20070410576, 200801212, 20080430090, 20080430731, 200902275]
- Hong Kong Polytechnic University
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.
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