| 一类推广的时滞人工神经网络系统模型的全局指数稳定性 |
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| 引用本文： | 汪羊玲,肖敏.一类推广的时滞人工神经网络系统模型的全局指数稳定性[J].南京晓庄学院学报,2009,25(3):9-13. |
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| 作者姓名： | 汪羊玲 肖敏 |
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| 作者单位： | 南京晓庄学院数学系,江苏,南京,211171 |
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| 摘 要： | 文章研究了一类推广的具有变时滞的人工神经网络系统模型的全局指数稳定性.通过Lyapunov稳定性理论,给出了该时滞神经网络系统模型平衡点唯一和全局指数稳定的一类判定条件,并通过典型实例来说明本文结果的应用.
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| 关 键 词： | 时滞人工神经网络 唯一性 全局指数稳定性 Lyapunov泛涵 |
Global Exponential Stability for a Class of Generalized Delayed Neural Networks |
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| WANG Yang-ling,XIAO Min.Global Exponential Stability for a Class of Generalized Delayed Neural Networks[J].Journal of Nanjing Xiaozhuang College,2009,25(3):9-13. |
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| Authors: | WANG Yang-ling XIAO Min |
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| Institution: | Department of Mathematics;Nanjing Xiaozhuang University;Nanjing 211171;China |
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| Abstract: | The global exponential stability for a class of generalized neural networks with time-varying delay is considered in this paper.Delay-dependent criteria are proposed to guarantee the uniqueness and global exponential stability of the equilibrium point of the delayed cellular neural networks via Lyapunov stability theory.One typical example is presented to show the effectiveness of the criteria obtained in this paper. |
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| Keywords: | delayed neural networks uniqueness global exponential stability Lyapunov functional |
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