{"title":"反馈系统中具有滞后非线性的细胞神经网络稳定性分析","authors":"A. Slavova","doi":"10.1109/CNNA.1996.566516","DOIUrl":null,"url":null,"abstract":"A new class of cellular neural networks is considered, where nonlinearity in the feedback system is hysteresis type. Stability analysis of the equilibrium points of this circuit is made using a new approach of dividing M/spl times/N Euclidean space into three different types of regions.","PeriodicalId":222524,"journal":{"name":"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Stability analysis of cellular neural networks with hysteresis nonlinearity in the feedback system\",\"authors\":\"A. Slavova\",\"doi\":\"10.1109/CNNA.1996.566516\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new class of cellular neural networks is considered, where nonlinearity in the feedback system is hysteresis type. Stability analysis of the equilibrium points of this circuit is made using a new approach of dividing M/spl times/N Euclidean space into three different types of regions.\",\"PeriodicalId\":222524,\"journal\":{\"name\":\"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)\",\"volume\":\"245 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.1996.566516\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1996.566516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stability analysis of cellular neural networks with hysteresis nonlinearity in the feedback system
A new class of cellular neural networks is considered, where nonlinearity in the feedback system is hysteresis type. Stability analysis of the equilibrium points of this circuit is made using a new approach of dividing M/spl times/N Euclidean space into three different types of regions.