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Synchronization schemes for coupled identical Yang-Yang type fuzzy cellular neural networks. (English) Zbl 1221.37227
Summary: We propose an adaptive procedure to the problem of synchronization for a class of coupled identical Yang-Yang type fuzzy cellular neural networks (YYFCNN) with time-varying delays. Based on the simple adaptive controller, a set of sufficient conditions are developed to guarantee the synchronization of the coupled YYFCNN with time-varying delays. The results are much different from previous ones. It is proved that two coupled identical YYFCNN with time-varying delays can achieve synchronization by enhancing the coupled strength dynamically. In addition, this kind of controller is simple to be implemented and it is fairly robust against the effect of weak noise in the given time series. The approaches are based on using the invariance principle of functional differential equations, constructing a general Lyapunov–Krasovskii functional and employing a linear matrix inequality (LMI). An illustrative example and its simulations show the feasibility of our results. Finally, an application is given to show how to apply the presented synchronization scheme of YYFCNN to secure communication.
MSC:
37N35Dynamical systems in control
34K20Stability theory of functional-differential equations
37D45Strange attractors, chaotic dynamics
92B20General theory of neural networks (mathematical biology)
93C42Fuzzy control systems