给定收敛速率下脉冲神经网络的全局指数稳定性

Adv. Artif. Neural Syst. Pub Date : 2013-01-01 DOI:10.1155/2013/908602

Chengyan Liu, Xiaodi Li, Xilin Fu

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引用次数: 1

摘要

研究一类脉冲神经网络的稳定性问题。利用李雅普诺夫函数和脉冲分析技术，给出了给定收敛速率下寻址模型全局指数稳定的充分条件。最后，通过算例验证了所得结果的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Globally Exponential Stability of Impulsive Neural Networks with Given Convergence Rate

This paper deals with the stability problem for a class of impulsive neural networks. Some sufficient conditions which can guarantee the globally exponential stability of the addressed models with given convergence rate are derived by using Lyapunov function and impulsive analysis techniques. Finally, an example is given to show the effectiveness of the obtained results.

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来源期刊

Adv. Artif. Neural Syst.

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