Almost sure exponential stability of stochastic fuzzy cellular neural networks with delays
Almost sure exponential stability of stochastic fuzzy cellular neural networks with delays
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DOI：
10.1016/j.chaos.2007.09.044
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发表时间：
2009-05
影响因子：
7.8
通讯作者：
Hongyong Zhao;Nan Ding;Ling Chen
中科院分区：
文献类型：
--
作者：
Hongyong Zhao;Nan Ding;Ling Chen
研究了一类具有时滞的模糊细胞神经网络的指数稳定性分析问题。通过构造合适的Lyapunov泛函并运用随机分析方法，给出了网络指数稳定的充分条件。最后通过一个算例说明了该方法的优越性。
This paper is concerned with the problem of exponential stability analysis for fuzzy cellular neural network with delays. By constructing suitable Lyapunov functional and using stochastic analysis we present some sufficient conditions ensuring almost sure exponential stability for the network. Moreover, an example is given to demonstrate the advantages of our method.