{"title":"多时变时滞Cohen-Grossberg神经网络的全局指数稳定性","authors":"Jin Deng, Daoyi Xu, Zhichun Yang","doi":"10.1109/ICECS.2004.1399657","DOIUrl":null,"url":null,"abstract":"Exponential stability of the Cohen-Grossberg neural networks with multiple time-varying delays is analyzed. Sufficient conditions for the existence and exponential stability of an equilibrium of the networks are obtained. These conditions are less restrictive than previously known criteria and can be easily verified.","PeriodicalId":38467,"journal":{"name":"Giornale di Storia Costituzionale","volume":"23 1","pages":"230-233"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays\",\"authors\":\"Jin Deng, Daoyi Xu, Zhichun Yang\",\"doi\":\"10.1109/ICECS.2004.1399657\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exponential stability of the Cohen-Grossberg neural networks with multiple time-varying delays is analyzed. Sufficient conditions for the existence and exponential stability of an equilibrium of the networks are obtained. These conditions are less restrictive than previously known criteria and can be easily verified.\",\"PeriodicalId\":38467,\"journal\":{\"name\":\"Giornale di Storia Costituzionale\",\"volume\":\"23 1\",\"pages\":\"230-233\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Giornale di Storia Costituzionale\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2004.1399657\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Giornale di Storia Costituzionale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2004.1399657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Arts and Humanities","Score":null,"Total":0}
Global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays
Exponential stability of the Cohen-Grossberg neural networks with multiple time-varying delays is analyzed. Sufficient conditions for the existence and exponential stability of an equilibrium of the networks are obtained. These conditions are less restrictive than previously known criteria and can be easily verified.
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