{"title":"具有脉冲效应的一般神经网络的近周期解的存在性和稳定性","authors":"Meng Hu, Lili Wang","doi":"10.1109/ICSSEM.2011.6081158","DOIUrl":null,"url":null,"abstract":"In this paper, we consider an impulsive nonlinear neural networks with variable time delays. Sufficient conditions ensuring the existence and global exponential stability of a unique almost periodic solution of the system are obtained, by the relation between the solutions of impulsive system and the corresponding non-impulsive system.","PeriodicalId":406311,"journal":{"name":"2011 International Conference on System science, Engineering design and Manufacturing informatization","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Existence and stability of almost periodic solution for a general neural networks with impulses effects\",\"authors\":\"Meng Hu, Lili Wang\",\"doi\":\"10.1109/ICSSEM.2011.6081158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider an impulsive nonlinear neural networks with variable time delays. Sufficient conditions ensuring the existence and global exponential stability of a unique almost periodic solution of the system are obtained, by the relation between the solutions of impulsive system and the corresponding non-impulsive system.\",\"PeriodicalId\":406311,\"journal\":{\"name\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"volume\":\"123 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2011.6081158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on System science, Engineering design and Manufacturing informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2011.6081158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Existence and stability of almost periodic solution for a general neural networks with impulses effects
In this paper, we consider an impulsive nonlinear neural networks with variable time delays. Sufficient conditions ensuring the existence and global exponential stability of a unique almost periodic solution of the system are obtained, by the relation between the solutions of impulsive system and the corresponding non-impulsive system.
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