时间尺度上具有时滞和脉冲的BAM型Cohen-Grossberg神经网络的指数稳定性

2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI:10.1109/ICICIP.2010.5564311

Chaolong Zhang, Wensi Ding, Fengjian Yang, Qian Wang

{"title":"时间尺度上具有时滞和脉冲的BAM型Cohen-Grossberg神经网络的指数稳定性","authors":"Chaolong Zhang, Wensi Ding, Fengjian Yang, Qian Wang","doi":"10.1109/ICICIP.2010.5564311","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks(or on time scales).","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exponential stability of BAM type Cohen-Grossberg neural networks with delays and impulsive on time scales\",\"authors\":\"Chaolong Zhang, Wensi Ding, Fengjian Yang, Qian Wang\",\"doi\":\"10.1109/ICICIP.2010.5564311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks(or on time scales).\",\"PeriodicalId\":152024,\"journal\":{\"name\":\"2010 International Conference on Intelligent Control and Information Processing\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Intelligent Control and Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIP.2010.5564311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2010.5564311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文研究了脉冲对一类具有时滞和脉冲的BAM型Cohen-Grossberg神经网络稳定性的影响。得到了脉冲系统在时间尺度上指数稳定的几个充分条件。这些结果扩展和改进了最近关于脉冲神经网络和非脉冲神经网络(或时间尺度上)的一些工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Exponential stability of BAM type Cohen-Grossberg neural networks with delays and impulsive on time scales

In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks(or on time scales).

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 International Conference on Intelligent Control and Information Processing

自引率

0.00%

发文量