{"title":"Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions","authors":"M. Forets, Daniel Freire, Christian Schilling","doi":"10.1109/MEMOCODE51338.2020.9314994","DOIUrl":null,"url":null,"abstract":"Efficiently handling time-triggered and possibly nondeterministic switches for hybrid systems reachability is a challenging task. In this paper we focus on periodically controlled systems with fast-switching controller dynamics, which often require simulation time scales of the order of nanoseconds. Accurate set-based computations for such systems with relatively large time horizons are expensive due to the accumulation of errors in the discrete transitions. We present an approach based on conservative set-based enclosure of the dynamics that can handle systems with uncertain parameters and inputs. We demonstrate our algorithm on the plant model of an experimental electro-mechanical braking system with periodic controller.","PeriodicalId":212741,"journal":{"name":"2020 18th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 18th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMOCODE51338.2020.9314994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Efficiently handling time-triggered and possibly nondeterministic switches for hybrid systems reachability is a challenging task. In this paper we focus on periodically controlled systems with fast-switching controller dynamics, which often require simulation time scales of the order of nanoseconds. Accurate set-based computations for such systems with relatively large time horizons are expensive due to the accumulation of errors in the discrete transitions. We present an approach based on conservative set-based enclosure of the dynamics that can handle systems with uncertain parameters and inputs. We demonstrate our algorithm on the plant model of an experimental electro-mechanical braking system with periodic controller.