Attracting and invariant sets of non‐autonomous reaction‐diffusion neural networks with time‐varying delays

Attracting and invariant sets of non‐autonomous reaction‐diffusion neural networks with time‐varying delays

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Article ID: iaor20125193
Volume: 82
Issue: 11
Start Page Number: 2199
End Page Number: 2214
Publication Date: Jul 2012
Journal: Mathematics and Computers in Simulation
Authors: , ,
Keywords: diffusion models
Abstract:

In this paper, a class of non‐autonomous reaction‐diffusion neural networks with time‐varying delays is investigated. By establishing a new differential inequality and employing the properties of spectral radius of nonnegative matrix and diffusion operator, the global attracting and positive invariant sets and exponential stability of non‐autonomous reaction‐diffusion neural networks with time‐varying delays are obtained. Our results do not require the conditions of boundedness of the coefficient of neural networks. One example is given to illustrate the effectiveness of our conclusion.

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