基于循环泛函方法的复杂动态网络混合H∞和被动采样数据同步的进一步结果

Wang Xin, Sun Jian
{"title":"基于循环泛函方法的复杂动态网络混合H∞和被动采样数据同步的进一步结果","authors":"Wang Xin, Sun Jian","doi":"10.1109/ISASS.2019.8757728","DOIUrl":null,"url":null,"abstract":"This paper investigates the issue of $H_{\\infty}$ and passive sampled-data synchronization of delayed complex dynamical networks. By taking more information about r(tk) and r($t_{k+1}$) into account, which has contribution to decrease the conservatism of stability condition, a novel Lyapunov-Krasovskii looped-functional is constructed. Then, we design a $H_{\\infty}$ and passive sampled-data controller for complex dynamical networks. Finally, the feasibility and superiority of our method are proved by several numerical and simulation examples.","PeriodicalId":359959,"journal":{"name":"2019 3rd International Symposium on Autonomous Systems (ISAS)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Further results on mixed H∞ and passive sampled-data synchronization of complex dynamical networks via looped-functional approach\",\"authors\":\"Wang Xin, Sun Jian\",\"doi\":\"10.1109/ISASS.2019.8757728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the issue of $H_{\\\\infty}$ and passive sampled-data synchronization of delayed complex dynamical networks. By taking more information about r(tk) and r($t_{k+1}$) into account, which has contribution to decrease the conservatism of stability condition, a novel Lyapunov-Krasovskii looped-functional is constructed. Then, we design a $H_{\\\\infty}$ and passive sampled-data controller for complex dynamical networks. Finally, the feasibility and superiority of our method are proved by several numerical and simulation examples.\",\"PeriodicalId\":359959,\"journal\":{\"name\":\"2019 3rd International Symposium on Autonomous Systems (ISAS)\",\"volume\":\"187 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 3rd International Symposium on Autonomous Systems (ISAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISASS.2019.8757728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISASS.2019.8757728","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

研究了时滞复杂动态网络的$H_{\infty}$和被动采样数据同步问题。考虑到r(tk)和r($t_{k+1}$)的更多信息有助于降低稳定性条件的保守性,构造了一个新的Lyapunov-Krasovskii环泛函。然后,针对复杂动态网络设计了$H_{\infty}$和被动采样数据控制器。最后,通过数值和仿真算例验证了该方法的可行性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Further results on mixed H∞ and passive sampled-data synchronization of complex dynamical networks via looped-functional approach
This paper investigates the issue of $H_{\infty}$ and passive sampled-data synchronization of delayed complex dynamical networks. By taking more information about r(tk) and r($t_{k+1}$) into account, which has contribution to decrease the conservatism of stability condition, a novel Lyapunov-Krasovskii looped-functional is constructed. Then, we design a $H_{\infty}$ and passive sampled-data controller for complex dynamical networks. Finally, the feasibility and superiority of our method are proved by several numerical and simulation examples.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信