H∞ stability conditions for delayed neural networks with external disturbances and norm-bounded uncertainties:Delay independent and dependent criteria

作     者：Choon Ki AHN 

作者机构：Department of Automotive Engineering Seoul National University of Science & Technology 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2011年第54卷第8期

页      面：1691-1701页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：H_∞ analysis delayed neural networks uncertainty disturbance linear matrix inequality (LMI) 

摘      要：In this paper,we propose new delay independent and dependent H ∞ stability conditions for delayed neural networks with external disturbances and norm-bounded *** conditions are presented to not only guarantee the asymptotical stability but also reduce the effect of external disturbance to an Hnorm constraint. The proposed conditions are represented by linear matrix inequalities （LMIs）.Optimal Hnorm bounds are obtained easily by solving convex problems in terms of *** applicability of these conditions is illustrated by numerical examples.