Abstract
This paper presents a robust adaptive fuzzy controller to synchronize two gap junction coupled chaotic FitzHugh-Nagumo (FHN) neurons under ex- ternal electrical stimulation. A variable universe adap- tive fuzzy approximator is used to approximate the nonlinear uncertain function of the synchronization er- ror 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 ar- bitrarily desired level. Chaos synchronization is ob- tained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.
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