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Global Asymptotic Stability of Neural Networks with Time Delay

Global Asymptotic Stability of Neural Networks with Time Delay
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摘要 The global asymptotic stability problem of Cellular neural networks with delay is investigated.A new stability condition is presented based on Lyapunov-Krasovskii method,which is dependent on the size of delay.The result is given in the form of LMI,and the admitted upper bound of the delay can be obtained easily.The time delay dependent and independent results can be obtained,which include some results in the former literature.Finally,a numerical example is given to illustrate the effectiveness of the main results. The global asymptotic stability problem of Cellular neural networks with delay is investigated.A new stability condition is presented based on Lyapunov-Krasovskii method,which is dependent on the size of delay.The result is given in the form of LMI,and the admitted upper bound of the delay can be obtained easily.The time delay dependent and independent results can be obtained,which include some results in the former literature.Finally,a numerical example is given to illustrate the effectiveness of the main results.
作者 肖晓丹 张洁
机构地区 燕山大学
出处 《科技信息》 2008年第19期207-208,共2页 Science & Technology Information
关键词 时间延迟 神经网络 自动化系统 稳定性 Delayed cellular neural networks (DCNNs) LMI global stability
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参考文献10

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