{"title":"Asynchronous intermittent sampled-data control for delayed complex dynamical networks with Lévy noise","authors":"Hui Zhou , Jingheng Feng , Ju H. Park , Wenxue Li","doi":"10.1016/j.nahs.2024.101550","DOIUrl":null,"url":null,"abstract":"<div><div>The article researches the synchronization issue of delayed multilink complex dynamical networks with Lévy noise (DMCNL) via asynchronously intermittent sampled-data decentralized control (AISDC). Asynchronous intermittent decentralized control, compared to synchronous intermittent control, is a policy that enables individual node-system to operate with distinct work and rest periods, thereby offering a higher degree of adaptability. Considering that continuous sampling in the control segment may result in resource wastage, a novel policy called AISDC is proposed by integrating the policy above and intermittent sampled-data control. Then, an auxiliary timer is designed for every node-system to make a compromise between regulating work intervals and controlling the rest interval. Moreover, graph theory and the Lyapunov method are combined to establish several synchronization criteria. Finally, numerical examples on a second-order Kuramoto model verify the feasibility of the proposed results.</div></div>","PeriodicalId":49011,"journal":{"name":"Nonlinear Analysis-Hybrid Systems","volume":"55 ","pages":"Article 101550"},"PeriodicalIF":3.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Analysis-Hybrid Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751570X24000876","RegionNum":2,"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
Abstract
The article researches the synchronization issue of delayed multilink complex dynamical networks with Lévy noise (DMCNL) via asynchronously intermittent sampled-data decentralized control (AISDC). Asynchronous intermittent decentralized control, compared to synchronous intermittent control, is a policy that enables individual node-system to operate with distinct work and rest periods, thereby offering a higher degree of adaptability. Considering that continuous sampling in the control segment may result in resource wastage, a novel policy called AISDC is proposed by integrating the policy above and intermittent sampled-data control. Then, an auxiliary timer is designed for every node-system to make a compromise between regulating work intervals and controlling the rest interval. Moreover, graph theory and the Lyapunov method are combined to establish several synchronization criteria. Finally, numerical examples on a second-order Kuramoto model verify the feasibility of the proposed results.
期刊介绍:
Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.