延迟神经网络指数稳定性的进一步结果

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI:10.1109/FSKD.2016.7603279

Xiaofan Liu, Xinge Liu, Meilan Tang

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引用次数: 0

摘要

研究了延迟神经网络的指数稳定性问题。基于一些新的积分不等式和改进的Lyapunov-Krasovskii泛函(LKF)，进一步以线性矩阵不等式(LMI)的形式得到了所考虑的延迟神经网络的时滞相关指数稳定性的结果。最后通过数值算例验证了本文结果的有效性。

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Further results on exponential stability of delayed neural networks

This paper considers exponential stability of delayed neural networks(NNs). Based on some novel integral inequalities and a modified Lyapunov-Krasovskii functional(LKF), further result on delay-dependent exponential stability is obtained for the considered delayed neural networks in form of linear matrix inequality(LMI). The effectiveness of our result in this paper is also demonstrated by a numerical example.

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2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

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