{"title":"Robust Controller Synthesis under Markovian Mode Switching with Periodic LTV Dynamics","authors":"Shaurya Shrivastava, Kenshiro Oguri","doi":"arxiv-2409.11537","DOIUrl":null,"url":null,"abstract":"In this work, we propose novel LMI-based controller synthesis frameworks for\nperiodically time-varying Markov-jump linear systems. We first discuss the\nnecessary conditions for mean square stability and derive Lyapunov-like\nconditions for stability assurance. To relax strict stability requirements, we\nintroduce a new criterion that doesn't require the Lyapunov function to\ndecrease at each time step. Further, we incorporate these stability theorems in\nLMI-based controller synthesis frameworks while considering two separate\nproblems: minimizing a quadratic cost, and maximizing the region of attraction.\nNumerical simulations verify the controllers' stability and showcase its\napplicability to fault-tolerant control.","PeriodicalId":501286,"journal":{"name":"arXiv - MATH - Optimization and Control","volume":"194 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Optimization and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11537","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
In this work, we propose novel LMI-based controller synthesis frameworks for
periodically time-varying Markov-jump linear systems. We first discuss the
necessary conditions for mean square stability and derive Lyapunov-like
conditions for stability assurance. To relax strict stability requirements, we
introduce a new criterion that doesn't 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 a quadratic cost, and maximizing the region of attraction.
Numerical simulations verify the controllers' stability and showcase its
applicability to fault-tolerant control.