Synchronization of Reaction-Diffusion Delayed Non-Autonomous Fuzzy Cellular Neural Networks

In this paper,we investigate the synchronization of reaction-diffusion delayed non-autonomous fuzzy cellular neural networks(FCNNs) with Dirichlet boundary conditions. The approaches developed here extend the ideas and techniques derived in recent literatures. By using the Lyapunov-Lasall principle of functional differential equations and utlizing some inequality techniques, we can obtain some new stability criterias .The result imposes constraint conditions on the network parameters independently of the delay parameter.The result is also easy to check and plays an important role in the designs and applications of globally exponentially stable fuzzy neural circuits. Index Terms—Fuzzy cellular neural networks; Synchronization ;Reaction-diffusion; Non-autonomous ; Lyapunov-Lasall principle; Inequality techniques; Globally exponentially stable. ✦

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