{"title":"Time-Delay Compensation Control of Networked Control Systems Using Timestamp Based State Prediction","authors":"Jiwei Hua, Tao Liang, Hexu Sun, Zhao-ming Lei","doi":"10.1109/CCCM.2008.333","DOIUrl":null,"url":null,"abstract":"In order to compensate time-delay in the networked control system (NCS), the paper presents a state prediction control method which adopted time-stamp. At first, we studied a time-stamp based time-delay measuring algorithm of NCS and implemented the state prediction based time-delay compensation control to the system. Then, we proposed a state prediction control approach of establishing an approximate model to object states in the controller and actuator time-driven. With that, we designed a state prediction controller to make the system achieve prediction control and deduced the necessary and sufficient conditions for stabilizing the system. At last, the simulation results of the numerical example prove the validity of the proposed approach.","PeriodicalId":326534,"journal":{"name":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCM.2008.333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In order to compensate time-delay in the networked control system (NCS), the paper presents a state prediction control method which adopted time-stamp. At first, we studied a time-stamp based time-delay measuring algorithm of NCS and implemented the state prediction based time-delay compensation control to the system. Then, we proposed a state prediction control approach of establishing an approximate model to object states in the controller and actuator time-driven. With that, we designed a state prediction controller to make the system achieve prediction control and deduced the necessary and sufficient conditions for stabilizing the system. At last, the simulation results of the numerical example prove the validity of the proposed approach.