期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：607-612
出版社：Newswood and International Association of Engineers
摘要：The problem of mixed H∞ and passivity analysis
for neural networks with mixed time-varying delays which
consist of discrete and distributed time-varying delays via
feedback control is investigated. Based on designing feedback
controller and constructing a Lyapunov-Krasovskii functional
(LKF) comprising novel integral terms, the neural networks
system is exponentially stable satisfying mixed H∞ and passivity
performance. Moreover, improved Jensen inequalities and convex
combination idea are utilized to derive sufficient conditions
in terms of linear matrix inequalities (LMIs). A numerical
example is employed to demonstrate the effectiveness of the
proposed method.
关键词：neural networks; mixed H∞ and passivity;
analysis; exponential stability; Lyapunov-Krasovskii functional;;
discrete and distributed time-varying delays
