Stability for Switched Cohen-Grossberg Neural Networks with Average Dwell Time

作     者：LIAN Jie 1,ZHANG Kai 1,SUN Wenan 2 1.Faculty of Electronic and Information Engineering,Dalian University of Technology,Dalian 116024,P.R.China 2.College of Information Engineering,Dalian University,Dalian 116622,P.R.China 

会议名称：《第二十九届中国控制会议》

会议日期：2010年

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）] 

关 键 词：Switched Systems Cohen-Grossberg Neural Networks Average Dwell Time Time-varying Delays 

摘      要：This paper studies the stability of switched Cohen-Grossberg neural networks with interval time-varying delay and distributed time-varying delay.A piecewise Lyapunov function is utilized to deal with the switching problems of *** switching signals are arbitraryunder the constraint of the average dwell time which is calculated by collecting the state decay estimation of *** conditions are obtained in terms of linear matrix inequality（LMI）to guarantee the exponential stability for the switched Cohen-Grossberg neural *** example is provided to illustrate the effectiveness of the proposed method.