{"title":"A Control Scheme for Teleoperation Robot Arms Based on Markov Jump Systems with Time-delay","authors":"Yiwei Zhao, Junhua Gu, Hongxian Li","doi":"10.1109/RCAR54675.2022.9872235","DOIUrl":null,"url":null,"abstract":"This paper is focused on the synchronous control problem of teleoperation robot arms based on Markov jump linear systems. More specifically, a drive-response Markov model is used to describe the master and slave teleoperation robot arms system. According to linear matrix inequalities (LMIs), we propose a stability condition for Markov jump systems using mode-dependent controllers based on a stochastic Lyapunov function. Singular value decomposition and sparse matrix structuring methods are used to prove the teleoperation control system is stochastically stable. Finally, a simulation example is presented to prove the correctness and truth of the inference.","PeriodicalId":169202,"journal":{"name":"International Conference on Real-time Computing and Robotics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Real-time Computing and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR54675.2022.9872235","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
This paper is focused on the synchronous control problem of teleoperation robot arms based on Markov jump linear systems. More specifically, a drive-response Markov model is used to describe the master and slave teleoperation robot arms system. According to linear matrix inequalities (LMIs), we propose a stability condition for Markov jump systems using mode-dependent controllers based on a stochastic Lyapunov function. Singular value decomposition and sparse matrix structuring methods are used to prove the teleoperation control system is stochastically stable. Finally, a simulation example is presented to prove the correctness and truth of the inference.