{"type":"conference","doi":"10.1145/2562059.2562130","page":"213 - 222","acknowledgement":"This work was supported in part by the Austrian Science Fund NFN RiSE (Rigorous Systems Engineering) and by the ERC Advanced Grant QUAREM (Quantitative Reactive Modeling).\r\nA Technical Report of this paper is available at: \r\nhttps://repository.ist.ac.at/id/eprint/171","status":"public","author":[{"id":"40876CD8-F248-11E8-B48F-1D18A9856A87","full_name":"Henzinger, Thomas A","last_name":"Henzinger","first_name":"Thomas A","orcid":"0000−0002−2985−7724"},{"full_name":"Otop, Jan","id":"2FC5DA74-F248-11E8-B48F-1D18A9856A87","first_name":"Jan","last_name":"Otop"}],"conference":{"name":"HSCC: Hybrid Systems - Computation and Control","end_date":"2014-04-17","location":"Berlin, Germany","start_date":"2014-04-15"},"oa_version":"None","date_updated":"2023-02-23T12:25:23Z","publist_id":"4751","ec_funded":1,"month":"04","year":"2014","related_material":{"record":[{"id":"5416","relation":"earlier_version","status":"public"}]},"title":"Model measuring for hybrid systems","quality_controlled":"1","project":[{"_id":"25EE3708-B435-11E9-9278-68D0E5697425","grant_number":"267989","call_identifier":"FP7","name":"Quantitative Reactive Modeling"},{"name":"Rigorous Systems Engineering","call_identifier":"FWF","_id":"25832EC2-B435-11E9-9278-68D0E5697425","grant_number":"S 11407_N23"}],"citation":{"chicago":"Henzinger, Thomas A, and Jan Otop. “Model Measuring for Hybrid Systems.” In Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control, 213–22. Springer, 2014. https://doi.org/10.1145/2562059.2562130.","apa":"Henzinger, T. A., & Otop, J. (2014). Model measuring for hybrid systems. In Proceedings of the 17th international conference on Hybrid systems: computation and control (pp. 213–222). Berlin, Germany: Springer. https://doi.org/10.1145/2562059.2562130","ista":"Henzinger TA, Otop J. 2014. Model measuring for hybrid systems. Proceedings of the 17th international conference on Hybrid systems: computation and control. HSCC: Hybrid Systems - Computation and Control, 213–222.","short":"T.A. Henzinger, J. Otop, in:, Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control, Springer, 2014, pp. 213–222.","mla":"Henzinger, Thomas A., and Jan Otop. “Model Measuring for Hybrid Systems.” Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control, Springer, 2014, pp. 213–22, doi:10.1145/2562059.2562130.","ieee":"T. A. Henzinger and J. Otop, “Model measuring for hybrid systems,” in Proceedings of the 17th international conference on Hybrid systems: computation and control, Berlin, Germany, 2014, pp. 213–222.","ama":"Henzinger TA, Otop J. Model measuring for hybrid systems. In: Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control. Springer; 2014:213-222. doi:10.1145/2562059.2562130"},"date_published":"2014-04-01T00:00:00Z","scopus_import":1,"_id":"2217","publication_status":"published","language":[{"iso":"eng"}],"publication":"Proceedings of the 17th international conference on Hybrid systems: computation and control","date_created":"2018-12-11T11:56:23Z","abstract":[{"text":"As hybrid systems involve continuous behaviors, they should be evaluated by quantitative methods, rather than qualitative methods. In this paper we adapt a quantitative framework, called model measuring, to the hybrid systems domain. The model-measuring problem asks, given a model M and a specification, what is the maximal distance such that all models within that distance from M satisfy (or violate) the specification. A distance function on models is given as part of the input of the problem. Distances, especially related to continuous behaviors are more natural in the hybrid case than the discrete case. We are interested in distances represented by monotonic hybrid automata, a hybrid counterpart of (discrete) weighted automata, whose recognized timed languages are monotone (w.r.t. inclusion) in the values of parameters.\r\n\r\nThe contributions of this paper are twofold. First, we give sufficient conditions under which the model-measuring problem can be solved. Second, we discuss the modeling of distances and applications of the model-measuring problem.","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","day":"01","publisher":"Springer","department":[{"_id":"ToHe"}]}