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混合时滞模糊细胞神经网络的全局指数稳定性

Global Exponential Stability of Fuzzy Cellular Neural Networks with Mixed Delays
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摘要 利用Lyapunov泛函和模糊逻辑运算技巧相结合的方法,研究了一类混合时滞模糊细胞神经网络的全局指数稳定性,并给出了易于验证的稳定性代数判据,然后实例说明结论的有效性。 In this paper,the global exponential stability of fuzzy cellular neural networks with mixed delays is investigated by using Lyapunov functional method and fuzzy logic operation technique.A criterion for the stability is obtained which is validated with an example.
作者 朱显 王林山
出处 《滨州学院学报》 2016年第2期35-40,共6页 Journal of Binzhou University
基金 国家自然科学基金资助项目(11171374) 山东省自然科学基金重点资助项目(ZR2011AZ001)
关键词 细胞神经网络 混合时滞 模糊逻辑运算 LYAPUNOV泛函 指数稳定性 cellular neural networks mixed delays fuzzy logic operation Lyapunov functional exponential stability
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