{"title":"一般延迟细胞神经网络的无条件稳定性","authors":"Ta-lun Yang, Lin-Bao Yang, Guangyi Yang","doi":"10.1109/CNNA.1994.381687","DOIUrl":null,"url":null,"abstract":"In this paper, an algebraic criterion of the unconditional stability of the delayed cellular neural networks (DCNN) is presented. The criterion is necessary and sufficient, which gives the decision of the unconditional stability of the DCNN an elementary approach instead of the transcendental ones. Some examples are given to show how the criterion works in a simple way.<<ETX>>","PeriodicalId":248898,"journal":{"name":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On unconditional stability of the general delayed cellular neural networks\",\"authors\":\"Ta-lun Yang, Lin-Bao Yang, Guangyi Yang\",\"doi\":\"10.1109/CNNA.1994.381687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an algebraic criterion of the unconditional stability of the delayed cellular neural networks (DCNN) is presented. The criterion is necessary and sufficient, which gives the decision of the unconditional stability of the DCNN an elementary approach instead of the transcendental ones. Some examples are given to show how the criterion works in a simple way.<<ETX>>\",\"PeriodicalId\":248898,\"journal\":{\"name\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.1994.381687\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1994.381687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On unconditional stability of the general delayed cellular neural networks
In this paper, an algebraic criterion of the unconditional stability of the delayed cellular neural networks (DCNN) is presented. The criterion is necessary and sufficient, which gives the decision of the unconditional stability of the DCNN an elementary approach instead of the transcendental ones. Some examples are given to show how the criterion works in a simple way.<>