{"title":"A refined stability result for linear Markovian switching systems and its implications","authors":"Shen Cong","doi":"10.1016/j.nahs.2025.101617","DOIUrl":null,"url":null,"abstract":"<div><div>We attempt to offer an informative insight into the stability mechanism of Markovian switching systems from the perspective of Lyapunov method. With this aim, our efforts are devoted to refining a stability criterion that was posed in Cong (2018) and moreover, showing that all kinds of existing results derived from Lyapunov method in principle can be recovered as special cases of the refined one, due to overlooking certain things that may influence stability. To do so, it requires us to fully understand the construction and the computation of the Lyapunov function used in proving our result, which in turn requires us to work with renewal theory other than confining ourselves within the context of Markov chain theory for describing switching signals.</div></div>","PeriodicalId":49011,"journal":{"name":"Nonlinear Analysis-Hybrid Systems","volume":"58 ","pages":"Article 101617"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-25","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/S1751570X25000433","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
We attempt to offer an informative insight into the stability mechanism of Markovian switching systems from the perspective of Lyapunov method. With this aim, our efforts are devoted to refining a stability criterion that was posed in Cong (2018) and moreover, showing that all kinds of existing results derived from Lyapunov method in principle can be recovered as special cases of the refined one, due to overlooking certain things that may influence stability. To do so, it requires us to fully understand the construction and the computation of the Lyapunov function used in proving our result, which in turn requires us to work with renewal theory other than confining ourselves within the context of Markov chain theory for describing switching signals.
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.