{"title":"Robust Controller Synthesis Under Markovian Mode Switching With Periodic LTV Dynamics","authors":"Shaurya Shrivastava;Kenshiro Oguri","doi":"10.1109/LCSYS.2024.3522212","DOIUrl":null,"url":null,"abstract":"In this letter, we propose novel LMI-based controller synthesis frameworks for discrete-time Markov-jump systems with periodically time-varying dynamics. We discuss necessary and sufficient conditions for mean square stability and derive Lyapunov-like conditions for stability assurance. To relax strict stability requirements, we introduce a new criterion that does not require the Lyapunov function to decrease at each time step. Further, we incorporate these stability theorems in LMI-based controller synthesis frameworks while considering two separate problems: minimizing an upper bound of a quadratic cost and maximizing the region of attraction, all while guaranteeing stability. Numerical simulations verify the controllers’ stability and showcase its applicability to fault-tolerant control.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3339-3344"},"PeriodicalIF":2.4000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Control Systems Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10812991/","RegionNum":0,"RegionCategory":null,"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
In this letter, we propose novel LMI-based controller synthesis frameworks for discrete-time Markov-jump systems with periodically time-varying dynamics. We discuss necessary and sufficient conditions for mean square stability and derive Lyapunov-like conditions for stability assurance. To relax strict stability requirements, we introduce a new criterion that does not require the Lyapunov function to decrease at each time step. Further, we incorporate these stability theorems in LMI-based controller synthesis frameworks while considering two separate problems: minimizing an upper bound of a quadratic cost and maximizing the region of attraction, all while guaranteeing stability. Numerical simulations verify the controllers’ stability and showcase its applicability to fault-tolerant control.