Stark is a tool for the analysis of the robustness of dynamical systems operating under uncertainty. Robustness is expressed as a distance between the nominal and perturbed versions of the behaviour. However, the current version of the tool does not allow for analysing the robustness with respect to time distortions induced by perturbations. To fill this gap, we discuss the integration of a Skorokhod-like technique to the evaluation of distances in Stark. Moreover, we claim that this approach will allow us to extend the expressiveness of Stark with resilience analysis. We make use of a case study from System Biology to showcase the potential of the proposed technique: we analyse the robustness and resilience of the oscillatory behaviour of a gene regulatory network.

Robustness Against Time Distortions in Stark

Castiglioni, Valentina
;
Tini, Simone
2026-01-01

Abstract

Stark is a tool for the analysis of the robustness of dynamical systems operating under uncertainty. Robustness is expressed as a distance between the nominal and perturbed versions of the behaviour. However, the current version of the tool does not allow for analysing the robustness with respect to time distortions induced by perturbations. To fill this gap, we discuss the integration of a Skorokhod-like technique to the evaluation of distances in Stark. Moreover, we claim that this approach will allow us to extend the expressiveness of Stark with resilience analysis. We make use of a case study from System Biology to showcase the potential of the proposed technique: we analyse the robustness and resilience of the oscillatory behaviour of a gene regulatory network.
2026
Lecture Notes in Computer Science
9783032281869
9783032281876
46th IFIP WG 6.1 International Conference on Formal Techniques for Distributed Objects, Components, and Systems, FORTE 2026, held as part of the 21st International Federated Conference on Distributed Computing Techniques, DisCoTec 2026
ita
2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2217391
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