延迟细胞神经网络的全局指数稳定性分析

2005 IEEE International Symposium on Circuits and Systems Pub Date : 2005-05-23 DOI:10.1109/ISCAS.2005.1465673

S. Senan, S. Arik

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引用次数: 0

摘要

给出了延迟细胞神经网络(DCNN)平衡点全局指数稳定的新的充分条件。结果表明，使用一种更一般的Lyapunov-Krasovskii泛函可以得到DCNN平衡点指数稳定性的新结果。这些结果还与文献中最新的结果进行了比较。

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Global exponential stability analysis of delayed cellular neural networks

This paper presents new sufficient conditions for the global exponential stability of the equilibrium point for delayed cellular neural networks (DCNN). It is shown that the use of a more general type of Lyapunov-Krasovskii functional enables us to derive new results for exponential stability of the equilibrium point for DCNN. The results are also compared with the most recent results derived in the literature.

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2005 IEEE International Symposium on Circuits and Systems

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