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具有时变和无穷分布时滞的神经网络时滞相依全局指数稳定性分析

Delay-Dependent Global Exponential Stability of Neural Networks with Time-Varying and Infinite Distributed Delays
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摘要 通过构造恰当的Lyapunov泛函,利用自由权重矩阵法研究了同时具有时变和无穷分布时滞的神经网络全局指数稳定性,以线性矩阵不等式给出了系统全局指数稳定的充分判据。 By constructing a suitable and new Lyapunov functional and employing the free-weighting matrix approach, the neural networks with both time-varying and infinite distributed delays are investigated in this paper. A sufficient condition in the form of LMI for ensuring the delay-dependent global exponential stability is obtained with less conservativeness. The result of this paper improves the previous ones.
作者 毛凯 时宝
机构地区 海军航空工程学院基础部系统科学与数学研究所 海军航空工程学院基础部
出处 《重庆理工大学学报（自然科学）》 CAS 2012年第10期112-119,共8页 Journal of Chongqing University of Technology：Natural Science
基金 海军航空工程学院专业技术拔尖人才基金资助项目(名师工程)
关键词 时变时滞 无穷分布时滞 指数稳定 自由权重矩阵法 LYAPUNOV泛函 time-varying delays infinite distributed delays exponentially stable free-weighting matrix method Lyapunov functional
分类号 O175.13 [理学—基础数学]
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参考文献17

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二级参考文献9

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共引文献2

重庆理工大学学报（自然科学）
2012年 第10期

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