Passivity analysis for uncertain stochastic neural networks with discrete interval and distributed time-varying delays

作     者：P.Balasubramaniam G.Nagamani 

作者机构：Department of MathematicsGandhigram Rural University 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2010年第21卷第4期

页      面：688-697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）] 

基　　金：supported by Department of Science and Technology New Delhi India(SR/S4/MS:485/07) 

主　　题：linear matrix inequality(LMI) stochastic neural network passivity interval time-varying delay Lyapunov method. 

摘      要：The problem of passivity analysis is investigated for uncertain stochastic neural networks with discrete interval and distributed time-varying *** parameter uncertainties are assumed to be norm bounded and the delay is assumed to be time-varying and belongs to a given interval,which means that the lower and upper bounds of interval time-varying delays are *** constructing proper Lyapunov-Krasovskii functional and employing a combination of the free-weighting matrix method and stochastic analysis technique,new delay-dependent passivity conditions are derived in terms of linear matrix inequalities（LMIs）.Finally,numerical examples are given to show the less conservatism of the proposed conditions.