Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms
In this paper, a class of non-autonomous neural networks with distributed delays and reaction-diffusion terms is considered. Employing the properties of diffusion operator and the techniques of inequality, we investigate positive invariant set, global exponential stability, and then obtain the exponential dissipativity of the neural networks under consideration. Our results can extend and improve earlier ones. An example is given to demonstrate the effectiveness of these results.
KeywordsNeural Network Recurrent Neural Network Cellular Neural Network Global Exponential Stability Dynamical Neural Network
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- 8.Liao, X.: Theory and Applications of Stability for Dynamical Systems. Defence Industry Publishing House, Beijing (2000)Google Scholar