An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network
An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network作者机构:Nonlinear Scientific Research CenterJiangsu University
出 版 物:《Chinese Physics B》 (中国物理B(英文版))
年 卷 期:2010年第19卷第11期
页 面:212-217页
核心收录:
学科分类:07[理学] 070104[理学-应用数学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0704[理学-天文学] 0701[理学-数学]
基 金:Project supported by the National Natural Science Foundations of China (Grant Nos. 70571030 and 90610031) the Society Science Foundation from Ministry of Education of China (Grant No. 08JA790057) the Advanced Talents’ Foundation and Student’s Foundation of Jiangsu University (Grant Nos. 07JDG054 and 07A075)
主 题:Hopfield neural network LMI approach global synchronisation sliding mode control
摘 要:In this study, a successful linear matrix inequality approach is used to analyse a non-parameter perturbation of multi-delay Hopfield neural network by constructing an appropriate Lyapunov-Krasovskii functional. This paper presents the comprehensive discussion of the approach and also extensive applications.