{"title":"非线性动力系统的鲁棒完整控制综合工具","authors":"Yinan Li, Jun Liu","doi":"10.1145/3178126.3178153","DOIUrl":null,"url":null,"abstract":"This paper presents ROCS, an algorithmic control synthesis tool for nonlinear dynamical systems. Different from other formal control synthesis tools, it guarantees to generate a control strategy with respect to a robustly realizable specification for a nonlinear system. At the core of ROCS is the interval branch-and-bound scheme with a precision control parameter that reflects the robustness of the realizability of the specification. It also supports multiple variable precision control parameters to achieve higher efficiency.","PeriodicalId":131076,"journal":{"name":"Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"ROCS: A Robustly Complete Control Synthesis Tool for Nonlinear Dynamical Systems\",\"authors\":\"Yinan Li, Jun Liu\",\"doi\":\"10.1145/3178126.3178153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents ROCS, an algorithmic control synthesis tool for nonlinear dynamical systems. Different from other formal control synthesis tools, it guarantees to generate a control strategy with respect to a robustly realizable specification for a nonlinear system. At the core of ROCS is the interval branch-and-bound scheme with a precision control parameter that reflects the robustness of the realizability of the specification. It also supports multiple variable precision control parameters to achieve higher efficiency.\",\"PeriodicalId\":131076,\"journal\":{\"name\":\"Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week)\",\"volume\":\"171 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3178126.3178153\",\"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 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3178126.3178153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ROCS: A Robustly Complete Control Synthesis Tool for Nonlinear Dynamical Systems
This paper presents ROCS, an algorithmic control synthesis tool for nonlinear dynamical systems. Different from other formal control synthesis tools, it guarantees to generate a control strategy with respect to a robustly realizable specification for a nonlinear system. At the core of ROCS is the interval branch-and-bound scheme with a precision control parameter that reflects the robustness of the realizability of the specification. It also supports multiple variable precision control parameters to achieve higher efficiency.