带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)  

Exponential Stability of High-order Fuzzy Cellular Neural Networks with Time-Varying Delays

作　　者：郭汴京[1] 滕志东[1] 蒋海军[1] 

机构地区：[1]新疆大学数学与系统科学学院,新疆乌鲁木齐830046

出　　处：《新疆大学学报（自然科学版）》2008年第4期428-436,共9页Journal of Xinjiang University(Natural Science Edition)

基　　金：supported by The National Natural Science Foundation of P.R. China (10361004);The Major Project of The Ministry of Education;The Scientific Research Programmes of Colleges in Xinjiang(XJEDU2004I12,XJEDU2006I05)

摘　　要：研究了带有变时滞的高阶模糊细胞神经网络(HFCNNs)的全局指数稳定性.通过引入非奇异M-矩阵和使用Lyapunov泛函方法,得到了带有常时滞和变时滞的高阶模糊细胞神经网络全局指数稳定性的充分条件.In this paper, the global exponential stability of high-order fuzzy cellular neural networks （HFCNNs） with time-varying delays is proposed. Employing nonsingular M-matrix and Lyapunov functional method, some new sufficient conditions are derived for checking global exponential stability of the HFCNNs with constant and time-varying delays.

关 键 词：高阶模糊细胞神经网络 指数稳定性 非奇异M-矩阵 LYAPUNOV泛函 

分 类 号：O175.13[理学—数学]