具有积分/片段积分项的随机微分时滞系统的稳定性及其应用

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xuping Hou, Xiaofeng Zong, Junqi Mu
{"title":"具有积分/片段积分项的随机微分时滞系统的稳定性及其应用","authors":"Xuping Hou,&nbsp;Xiaofeng Zong,&nbsp;Junqi Mu","doi":"10.1002/rnc.7738","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article investigates the stochastic stability of stochastic differential delay systems (SDDSs) with path information and their applications in consensus control of multi-agent systems (MASs) based on the path information feedback. Here, the integral path information and fragment-integral path information are considered, respectively. The mean square (m.s.) and almost sure (a.s.) exponential stability criteria of the SDDSs with path integral information are established respectively according to the two types of path information. It is shown that the fragment-integral term may work positively for stochastic stability. Moreover, the obtained stochastic stability theorems are applied to design a distributed proportional integral/fragment-integral control protocol and establish consensus conditions for stochastic MASs under proportional-integral (PI)-type controls. Finally, the effectiveness of the results is verified through two simulation examples.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 4","pages":"1526-1538"},"PeriodicalIF":3.2000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability of Stochastic Differential Delay Systems With Integral/Fragment-Integral Term and Applications\",\"authors\":\"Xuping Hou,&nbsp;Xiaofeng Zong,&nbsp;Junqi Mu\",\"doi\":\"10.1002/rnc.7738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This article investigates the stochastic stability of stochastic differential delay systems (SDDSs) with path information and their applications in consensus control of multi-agent systems (MASs) based on the path information feedback. Here, the integral path information and fragment-integral path information are considered, respectively. The mean square (m.s.) and almost sure (a.s.) exponential stability criteria of the SDDSs with path integral information are established respectively according to the two types of path information. It is shown that the fragment-integral term may work positively for stochastic stability. Moreover, the obtained stochastic stability theorems are applied to design a distributed proportional integral/fragment-integral control protocol and establish consensus conditions for stochastic MASs under proportional-integral (PI)-type controls. Finally, the effectiveness of the results is verified through two simulation examples.</p>\\n </div>\",\"PeriodicalId\":50291,\"journal\":{\"name\":\"International Journal of Robust and Nonlinear Control\",\"volume\":\"35 4\",\"pages\":\"1526-1538\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Robust and Nonlinear Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7738\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7738","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

研究了具有路径信息的随机微分时滞系统的随机稳定性及其在基于路径信息反馈的多智能体系统一致控制中的应用。这里分别考虑了积分路径信息和碎片积分路径信息。根据两类路径信息分别建立了具有路径积分信息的sdds的均方指数稳定性判据和几乎确定指数稳定性判据。证明了片段积分项对随机稳定性是正的。将所得的随机稳定性定理应用于比例积分/片段积分控制方案的设计,建立了比例积分控制下随机质量的一致性条件。最后,通过两个仿真算例验证了结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability of Stochastic Differential Delay Systems With Integral/Fragment-Integral Term and Applications

This article investigates the stochastic stability of stochastic differential delay systems (SDDSs) with path information and their applications in consensus control of multi-agent systems (MASs) based on the path information feedback. Here, the integral path information and fragment-integral path information are considered, respectively. The mean square (m.s.) and almost sure (a.s.) exponential stability criteria of the SDDSs with path integral information are established respectively according to the two types of path information. It is shown that the fragment-integral term may work positively for stochastic stability. Moreover, the obtained stochastic stability theorems are applied to design a distributed proportional integral/fragment-integral control protocol and establish consensus conditions for stochastic MASs under proportional-integral (PI)-type controls. Finally, the effectiveness of the results is verified through two 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
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
×
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