{"title":"Delay-distribution based stability analysis of time-delayed port-Hamiltonian systems","authors":"P. Mukhija, I. Kar, R. Bhatt","doi":"10.1109/ISPCC.2012.6224345","DOIUrl":null,"url":null,"abstract":"In this paper, the problem of stability analysis of time-delayed port-Hamiltonian systems with probabilistic time-varying delay has been considered. The time-delay variation range is divided into two sub-intervals. By considering the probability distribution of the time-varying delay between the two sub-intervals and the knowledge of the delay variation range, a novel linear matrix inequality (LMI) based stability condition is derived by defining a Lyapunov-Krasovskii functional. It is illustrated with the help of a numerical example that as the probability of delay taking a small value increases, the upper delay bound increases.","PeriodicalId":437791,"journal":{"name":"2012 IEEE International Conference on Signal Processing, Computing and Control","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Signal Processing, Computing and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPCC.2012.6224345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, the problem of stability analysis of time-delayed port-Hamiltonian systems with probabilistic time-varying delay has been considered. The time-delay variation range is divided into two sub-intervals. By considering the probability distribution of the time-varying delay between the two sub-intervals and the knowledge of the delay variation range, a novel linear matrix inequality (LMI) based stability condition is derived by defining a Lyapunov-Krasovskii functional. It is illustrated with the help of a numerical example that as the probability of delay taking a small value increases, the upper delay bound increases.