聊城大学学报：自然科学版2012，Vol.25Issue(1)：1-7,7.
一类变时滞反应扩散静态递归神经网络解的P阶有界性和P阶全局指数稳定性
P-Order Boundedness and P-Order Global Exponential Stability for a Class of Static Recurrent Neural Networks with Reaction-diffusion and Time-varying Dealys
摘要
Abstract
Employing Lyapunov functional and inequalities techniques,P-order uniform boundedness,P-order uniformly ultimate boundedness and P-order global exponential stability for a class of static recurrent neural networks with reaction-diffusion and time-varying delays are studied.The algebraic criterion is obtained for the boundedness and stability,and the models in [5] and [7] are the special cases.关键词
反应扩散/时滞/静态递归神经网络/P阶有界性/P阶全局指数稳定性Key words
reaction-diffusion/delays/static neural networks/P-order uniform boundedness/P-order uniformly ultimate boundedness/P-order global exponential stability分类
数学引用本文复制引用
张薇,王林山..一类变时滞反应扩散静态递归神经网络解的P阶有界性和P阶全局指数稳定性[J].聊城大学学报：自然科学版,2012,25(1):1-7,7.基金项目
国家自然科学基金项目 （）
山东省自然科学基金重点项目（ZR2011AZ001）资助 （）
