具有时变延迟和脉冲效应的忆阻器递归神经网络的全局反同步

2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2015-11-01 DOI:10.1109/ICICIP.2015.7388165

Yinfang Song, Wen Sun

{"title":"具有时变延迟和脉冲效应的忆阻器递归神经网络的全局反同步","authors":"Yinfang Song, Wen Sun","doi":"10.1109/ICICIP.2015.7388165","DOIUrl":null,"url":null,"abstract":"In this paper, the anti-synchronization control of memristor-based recurrent neural networks with impulsive perturbations is studied. By using differential inclusions theory, the Lyapnov functional method and the inequality technique, some sufficient conditions are derived to ensure impulsive exponential anti-synchronization of memristor-based recurrent neural networks. The new proposed results involve the impulsive effects and improve the earlier publications. Numerical examples are given to show the effectiveness of our new schemes.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Global anti-synchronization of memristor-based recurrent neural networks with time-varying delays and impulsive effects\",\"authors\":\"Yinfang Song, Wen Sun\",\"doi\":\"10.1109/ICICIP.2015.7388165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the anti-synchronization control of memristor-based recurrent neural networks with impulsive perturbations is studied. By using differential inclusions theory, the Lyapnov functional method and the inequality technique, some sufficient conditions are derived to ensure impulsive exponential anti-synchronization of memristor-based recurrent neural networks. The new proposed results involve the impulsive effects and improve the earlier publications. Numerical examples are given to show the effectiveness of our new schemes.\",\"PeriodicalId\":265426,\"journal\":{\"name\":\"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIP.2015.7388165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2015.7388165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

研究了脉冲扰动下基于忆阻器的递归神经网络的反同步控制问题。利用微分内含物理论、李亚普诺夫泛函方法和不等式技术，推导了基于记忆阻器的递归神经网络脉冲指数反同步的充分条件。新提出的结果涉及脉冲效应，并改进了先前发表的结果。数值算例表明了新格式的有效性。

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

Global anti-synchronization of memristor-based recurrent neural networks with time-varying delays and impulsive effects

In this paper, the anti-synchronization control of memristor-based recurrent neural networks with impulsive perturbations is studied. By using differential inclusions theory, the Lyapnov functional method and the inequality technique, some sufficient conditions are derived to ensure impulsive exponential anti-synchronization of memristor-based recurrent neural networks. The new proposed results involve the impulsive effects and improve the earlier publications. Numerical examples are given to show the effectiveness of our new schemes.

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

2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)

自引率

0.00%

发文量