{"title":"Remote Supervision of Discret Parameter-Varying Networked Control Systems in a Set-membership Framework","authors":"Afef Najjar, M. Amairi","doi":"10.1109/STA50679.2020.9329293","DOIUrl":null,"url":null,"abstract":"Communication delays are one of the most challenging problems in networked control systems (NCSs). This paper deals with remote supervision of a class of discret NCSs with parameter-varying. The network induces transmission delays in the actuation and the measurement channels. These delays are assumed to be random but bounded. Under this assumption, an interval observer is developed to estimate unavailable process state. Then, a state prediction technique is required to compensate measurement channel delays. A numerical example is presented in order to demonstrate the framework efficiency.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA50679.2020.9329293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Communication delays are one of the most challenging problems in networked control systems (NCSs). This paper deals with remote supervision of a class of discret NCSs with parameter-varying. The network induces transmission delays in the actuation and the measurement channels. These delays are assumed to be random but bounded. Under this assumption, an interval observer is developed to estimate unavailable process state. Then, a state prediction technique is required to compensate measurement channel delays. A numerical example is presented in order to demonstrate the framework efficiency.