Synchronization of Reaction-Diffusion Delayed Non-Autonomous Fuzzy Cellular Neural Networks
Xiaoyi Du, Wei Ding · 2009
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 utilizing 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.