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一类具多比例时滞广义细胞神经网络的全局指数稳定性
引用本文:刘学婷,周立群. 一类具多比例时滞广义细胞神经网络的全局指数稳定性[J]. 河南师范大学学报(自然科学版), 2016, 0(4): 143-150
作者姓名:刘学婷  周立群
作者单位:天津师范大学数学科学学院
基金项目:国家自然科学基金(61374009)
摘    要:对一类具多比例时滞广义细胞神经网络的全局指数稳定性进行研究.首先用Brouwer不动点定理证明了该系统平衡点的存在唯一性,再通过建立时滞微分不等式,获得了保证该系统平衡点全局指数稳定的时滞独立的充分条件.最后,给出了一个数值算例验证所得结果的正确性和有效性.

关 键 词:广义细胞神经网络  全局指数稳定性  比例时滞  Lyapunov泛函  时滞微分不等式

Global Exponential Stability for a Class of Generalized Cellular Neural Networks with Multi-proportional Delays
LIU Xueting;ZHOU Liqun. Global Exponential Stability for a Class of Generalized Cellular Neural Networks with Multi-proportional Delays[J]. Journal of Henan Normal University(Natural Science), 2016, 0(4): 143-150
Authors:LIU Xueting  ZHOU Liqun
Affiliation:LIU Xueting;ZHOU Liqun;School of Mathematic Science,Tianjin Normal University;
Abstract:A class of generalized cellular neural networks with multi-proportional delays is studied.At first,the existence and uniqueness of equilibrium of the system are certified by the Brouwer fixed point theorem.Then by establishing a delayed differential inequality,a delay-independent sufficient condition is obtained for guaranteeing the global exponential stability of equilibrium of the system.Finally,we used an example and its simulation to demonstrate the correctness and effectiveness of the results.
Keywords:generalized cellular neural networks  global exponential stability  proportional delay  Lyapunov functional  delayed differential inequality
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