具有时滞和脉冲的离散神经网络的稳定性 |
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引用本文: | 王金玲,蒋海军,马天龙.具有时滞和脉冲的离散神经网络的稳定性[J].吉林林学院学报,2014(1):7-10. |
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作者姓名: | 王金玲 蒋海军 马天龙 |
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作者单位: | 新疆大学数学与系统科学学院,新疆乌鲁木齐830046 |
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基金项目: | 国家自然科学基金项目(61164004). |
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摘 要: | 讨论了一类具有时滞和脉冲的离散神经网络,通过利用Razumikhin定理和线性矩阵不等式的性质,获得了模型指数稳定的新的充分条件,推广和改进了已有的相关结果.
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关 键 词: | 离散神经网络 指数稳定 时滞 脉冲 |
Exponential Stability of Discrete-time Neural Networks with Delays and Impulses |
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Authors: | WANG Jin-ling JIANG Hai-jun MA Tian-long |
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Affiliation: | ( College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China) |
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Abstract: | A class of discrete-time neural network with delays and impulses is studied. By using Razumikhin theorem and linear matrix inequalities (LMI) , some new sufficient conditions to guarantee the global exponential stability are established. The previously known results are extended and improved. |
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Keywords: | discrete-time neural network exponential stability delays impulses |
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