Robust synthesis for real-time systems
- Kim Guldstrand Larsen,
- Axel Legay,
- Luois-Marie Traonouez,
- Aalborg Universitet,
- Inria
Publikation:
Artikel i tidsskrift og konference artikel i tidsskrift
Tidsskriftartikel
Peer-reviewOpen Access
Publikation information
Produktionstype
Publikation:
Artikel i tidsskrift og konference artikel i tidsskrift
Tidsskriftartikel
Peer-reviewOriginalsprog
EngelskSider fra-til (Antal sider)
Sider 96-122 (28 sider)Tidsskrift (Bind, Nummer)
Theoretical Computer Science (Bind 515)Publikationsmilepæle
- Udgivet - 2014
Publikationsstatus
Udgivet - 2014
ISSN
0304-3975Publication IDs
- Scopus: 84890122615
Resume
Specification theories for real-time systems allow reasoning about interfaces and their implementation models, using a set of operators that includes satisfaction, refinement, logical and parallel composition. To make such theories applicable throughout the entire design process from an abstract specification to an implementation, we need to reason about the possibility to effectively implement the theoretical specifications on physical systems, despite their limited precision. In the literature, this implementation problem has been linked to the robustness problem that analyzes the consequences of introducing small perturbations into formal models.
We address this problem of robust implementations in timed specification theories. We first consider a fixed perturbation and study the robustness of timed specifications with respect to the operators of the theory. To this end we synthesize robust strategies in timed games. Finally, we consider the parametric robustness problem and propose a counter-example refinement heuristic for computing safe perturbation values.
We address this problem of robust implementations in timed specification theories. We first consider a fixed perturbation and study the robustness of timed specifications with respect to the operators of the theory. To this end we synthesize robust strategies in timed games. Finally, we consider the parametric robustness problem and propose a counter-example refinement heuristic for computing safe perturbation values.
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Citationer
9
Hentninger
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