A New Globally Exponential Stability Criterion for Neural Networks with Discrete and Distributed Delays

Hao Chen, Shouming Zhong and Jinxiang Yang

Mathematical Problems in Engineering, 2015, vol. 2015, 1-9

Abstract:

This paper concerns the problem of the globally exponential stability of neural networks with discrete and distributed delays. A novel criterion for the globally exponential stability of neural networks is derived by employing the Lyapunov stability theory, homomorphic mapping theory, and matrix theory. The proposed result improves the previously reported global stability results. Finally, two illustrative numerical examples are given to show the effectiveness of our results.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:807150

DOI: 10.1155/2015/807150

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