具有耦合失效的延迟神经网络阵列的同步

2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI:10.1109/IHMSC.2013.97

Xiaomei Zhang, Xueli Chang, Lei Yan

{"title":"具有耦合失效的延迟神经网络阵列的同步","authors":"Xiaomei Zhang, Xueli Chang, Lei Yan","doi":"10.1109/IHMSC.2013.97","DOIUrl":null,"url":null,"abstract":"This paper considers a problem of synchronization for an array of discrete-time delayed neural networks with coupling failure. It is assumed that if coupling failure happens, then the array model is composed of identical delayed neural networks with coupling-free. By constructing a piecewise Lyapunov functional and utilizing an average dwell time method, delay-dependent sufficient conditions are established to guarantee global exponential synchronization.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synchronization for an Array of Delayed Neural Networks with Coupling Failure\",\"authors\":\"Xiaomei Zhang, Xueli Chang, Lei Yan\",\"doi\":\"10.1109/IHMSC.2013.97\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers a problem of synchronization for an array of discrete-time delayed neural networks with coupling failure. It is assumed that if coupling failure happens, then the array model is composed of identical delayed neural networks with coupling-free. By constructing a piecewise Lyapunov functional and utilizing an average dwell time method, delay-dependent sufficient conditions are established to guarantee global exponential synchronization.\",\"PeriodicalId\":222375,\"journal\":{\"name\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2013.97\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2013.97","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

研究了一组具有耦合失效的离散时滞神经网络的同步问题。假设如果发生耦合失效，则阵列模型由无耦合的相同延迟神经网络组成。通过构造分段Lyapunov泛函，利用平均停留时间方法，建立了保证全局指数同步的时滞相关充分条件。

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

Synchronization for an Array of Delayed Neural Networks with Coupling Failure

This paper considers a problem of synchronization for an array of discrete-time delayed neural networks with coupling failure. It is assumed that if coupling failure happens, then the array model is composed of identical delayed neural networks with coupling-free. By constructing a piecewise Lyapunov functional and utilizing an average dwell time method, delay-dependent sufficient conditions are established to guarantee global exponential synchronization.

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

2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics

自引率

0.00%

发文量