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Falsification of Cyber-Physical Systems with Constrained Signal Spaces

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NASA Formal Methods (NFM 2020)

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Abstract

Falsification has garnered much interest recently as a way to validate complex CPS designs with respect to a specification expressed via temporal logics. Using their quantitative semantics, the falsification problem can be formulated as a robustness minimization problem.

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Notes

  1. 1.

    A clock valuation, denoted by the letter \(\textit{\textbf{x}}\) in bold, is a vector of clock values, while \(x_i\) denotes the \(i^{th}\) clock of the automaton, as in Fig. 1.

  2. 2.

    Using more general predicates, such as linear predicates, leads to a more complicated problem of defining the transformation from the unit box, which we plan to consider in future work. This is indeed related to the problem of uniform sampling within a convex polytope.

  3. 3.

    The exploitation-driven and exploration-driven characterization refers only to the behaviors of the solvers seen on a global level, since the above-mentioned metaheuristics contain both exploitation-driven and exploration-driven aspects.

  4. 4.

    The seed here refers to the index for a sequence of random numbers in MATLAB.

  5. 5.

    See http://cps-vo.org/node/12116.

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Author information

Authors and Affiliations

  1. Univ Paris Est Creteil, LACL, 94010, Creteil, France

    Benoît Barbot

  2. VERIMAG/CNRS, Université Grenoble Alpes, Grenoble, France

    Nicolas Basset & Thao Dang

  3. Decyphir SAS, Moirans, France

    Alexandre Donzé

  4. Toyota Motors North America R&D, Saline, USA

    Tomoya Yamaguchi

  5. Gardena, USA

    James Kapinski

Authors
  1. Benoît Barbot
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  2. Nicolas Basset
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  3. Thao Dang
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  4. Alexandre Donzé
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  5. James Kapinski
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  6. Tomoya Yamaguchi
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Corresponding author

Correspondence to Thao Dang .

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Editors and Affiliations

  1. NASA Ames Research Center, Moffett Field, CA, USA

    Ritchie Lee

  2. SRI International, Menlo Park, CA, USA

    Susmit Jha

  3. KBR Inc., NASA Ames Research Center, Moffett Field, CA, USA

    Anastasia Mavridou

  4. NASA Ames Research Center, Moffett Field, CA, USA

    Dimitra Giannakopoulou

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Barbot, B., Basset, N., Dang, T., Donzé, A., Kapinski, J., Yamaguchi, T. (2020). Falsification of Cyber-Physical Systems with Constrained Signal Spaces. In: Lee, R., Jha, S., Mavridou, A., Giannakopoulou, D. (eds) NASA Formal Methods. NFM 2020. Lecture Notes in Computer Science(), vol 12229. Springer, Cham. https://doi.org/10.1007/978-3-030-55754-6_25

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