Model measuring for hybrid systems

T.A. Henzinger, J. Otop, in:, Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control, Springer, 2014, pp. 213–222.

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Conference Paper | Published | English
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Abstract
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. The 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.
Publishing Year
Date Published
2014-04-01
Proceedings Title
Proceedings of the 17th international conference on Hybrid systems: computation and control
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). A Technical Report of this paper is available at: https://repository.ist.ac.at/id/eprint/171
Page
213 - 222
Conference
HSCC: Hybrid Systems - Computation and Control
Conference Location
Berlin, Germany
Conference Date
2014-04-15 – 2014-04-17
IST-REx-ID

Cite this

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
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
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.
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.
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.
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.

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