含基于LMI的模糊Hopfield神经网络周期解的指数稳定性分析
Exponential stability of periodic solution of fuzzy Hopfield neural networks based on LMI
本文研究了一类带有分布时滞模糊Hopfield神经网络的稳定性，采用线性矩阵不等式和Lyapunov-Krasovskill函数方法，获得了关于其周期解存在性、唯一性和指数稳定性的充分条件．最后给出实例说明了该方法的有效性。
Exponential stability of fuzzy Hopfield neural networks with distributed delays is investigated in this paper. Based on LMI and Lyapunov-Krasovskill functional, sufficient conditions for existence, uniqueness and exponential stability of periodic solutions are obtained. An example is given showing the effectiveness of the results.
陈立平、符素云、吴然超
数学
模糊Hopfield神经网络分布时滞周期解Lyapunov-Krasovskill函数指数稳定
fuzyy Hopfield neural networksdistributed delayperiodic solutiosLyapunov-Krasovskill functionalexponential stability
陈立平,符素云,吴然超.含基于LMI的模糊Hopfield神经网络周期解的指数稳定性分析[EB/OL].(2010-03-17)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/201003-531.点此复制
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