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.
CITATION STYLE
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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