{"title":"基于双线性优化的未知线性系统构造校正探索与开发","authors":"Kwesi J. Rutledge, N. Ozay","doi":"10.1145/3501710.3519536","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of controlling an unknown dynamical system to safely reach a target set. We assume we have a priori access to a finite set of uncertain linear systems, to which the unknown system belongs to. This set can contain models for different failure or operational modes or potential environmental conditions. Given a desired exploration-exploitation profile, we provide a bilinear optimization based solution to this control synthesis problem. Our approach provides a family of controllers that enable adaptation based on data observed at run-time to automatically trade off model detection and reachability objectives while maintaining safety. We demonstrate the approach with several examples.","PeriodicalId":194680,"journal":{"name":"Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Correct-By-Construction Exploration and Exploitation for Unknown Linear Systems Using Bilinear Optimization\",\"authors\":\"Kwesi J. Rutledge, N. Ozay\",\"doi\":\"10.1145/3501710.3519536\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of controlling an unknown dynamical system to safely reach a target set. We assume we have a priori access to a finite set of uncertain linear systems, to which the unknown system belongs to. This set can contain models for different failure or operational modes or potential environmental conditions. Given a desired exploration-exploitation profile, we provide a bilinear optimization based solution to this control synthesis problem. Our approach provides a family of controllers that enable adaptation based on data observed at run-time to automatically trade off model detection and reachability objectives while maintaining safety. We demonstrate the approach with several examples.\",\"PeriodicalId\":194680,\"journal\":{\"name\":\"Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3501710.3519536\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501710.3519536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correct-By-Construction Exploration and Exploitation for Unknown Linear Systems Using Bilinear Optimization
This paper addresses the problem of controlling an unknown dynamical system to safely reach a target set. We assume we have a priori access to a finite set of uncertain linear systems, to which the unknown system belongs to. This set can contain models for different failure or operational modes or potential environmental conditions. Given a desired exploration-exploitation profile, we provide a bilinear optimization based solution to this control synthesis problem. Our approach provides a family of controllers that enable adaptation based on data observed at run-time to automatically trade off model detection and reachability objectives while maintaining safety. We demonstrate the approach with several examples.