Falsification of dynamical systems – an industrial perspective

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Abstract

Whenever formal verification of dynamical system models is not applicable, e.g., due to the presence of black-box components, simulation-based verification and falsification methods are promising approaches to gain confidence in a system satisfying its specification. With the introduction of robust semantics it is not only possible to answer this question in the Boolean sense but to quantify its truth. We illustrate a number of applications that are interesting from an industrial perspective, and point out how robustness could become even more versatile in the engineering process.

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Heinz, T. (2017). Falsification of dynamical systems – an industrial perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10152 LNCS, pp. 78–84). Springer Verlag. https://doi.org/10.1007/978-3-319-54292-8_7

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