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分数阶Hopfield型神经网络的全局渐近稳定性 被引量：1

Global Asymptotically Stability of Fractional-Order Hopfield Neural Networks
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摘要 研究了分数阶Hopfield型神经网络的全局渐近稳定性,通过LMI方法得到了一种实现系统全局渐近稳定性的LMI形式条件,通过实例仿真验证了结论的正确性。 In this paper, the global asymptotically stability of fractional-order hopfield neural networks was investigated, and a sufficient condition was given by using LMI approach. At last, a numerical example and corresponding numerical simulation were presented to demonstrate the effectiveness of the result.
作者 崔世维 盖明久 刘孝磊
机构地区 海军航空工程学院研究生管理大队 海军航空工程学院基础部
出处 《海军航空工程学院学报》 2015年第5期493-496,共4页 Journal of Naval Aeronautical and Astronautical University
关键词 分数阶 神经网络 渐近稳定性 LMI fractional order neural networks asymptotically stability LMI
分类号 O175.13 [理学—基础数学]
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参考文献16

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海军航空工程学院学报
2015年 第5期

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