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Benchmarks for Hybrid Systems Verification

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Hybrid Systems: Computation and Control (HSCC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2993))

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Abstract

There are numerous application examples for hybrid systems verification in recent literature. Most of them were introduced to illustrate a new approach to hybrid systems verification, and are therefore of a limited size. Others are case studies that serve to prove that an approach can be applied to real world problems. Verification of these typically requires a lot of domain experience to obtain a tractable, verifiable model. Verification of a case study yields a singular result that is hard to compare and time-consuming to reproduce.

This paper introduces three benchmarks for hybrid systems verification. These benchmarks are independent from a particular approach to verification, they have a limited domain, and have a simple basic structure. Nevertheless, these benchmarks can be scaled to arbitrary complexity, and offer the possibility to inject phenomena that are known to be problematic in hybrid verification. This paper presents result for a first set of instances, as an example of how these benchmark can be used to compare different tools and approaches.

This research was supported by the Defense Advanced Research Project Agency (DARPA) MoBIES project under contracts no. F3361500C1701 and F33615-02-C-0429, by the Army Research Office (ARO) under contract no. DAAD19-01-1-0485, by the National Science Foundation (NSF) under grants no. CCR-0121547 and CCR-0098072, by the Office of Naval Research (ONR) under contract no. N00014-95-1-0520. The views and conclusions in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of DARPA, ARO, ONR, NSF, the U.S. Government or any other entity.

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Fehnker, A., Ivančić, F. (2004). Benchmarks for Hybrid Systems Verification. In: Alur, R., Pappas, G.J. (eds) Hybrid Systems: Computation and Control. HSCC 2004. Lecture Notes in Computer Science, vol 2993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24743-2_22

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  • DOI: https://doi.org/10.1007/978-3-540-24743-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21259-1

  • Online ISBN: 978-3-540-24743-2

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