{"title":"周期LTV动态马尔可夫模式切换下的鲁棒控制器综合","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":"{\"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}","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}
Robust Controller Synthesis Under Markovian Mode Switching With Periodic LTV Dynamics
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.