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[CJM+20] | Emily Clement,
Thierry Jéron,
Nicolas Markey et
David Mentré.
Computing maximally-permissive strategies in acyclic
timed automata.
In FORMATS'20,
Lecture Notes in Computer Science 12288, pages 111-126. Springer-Verlag, septembre 2020.
@inproceedings{formats2020-CJMM, author = {Clement, Emily and J{\'e}ron, Thierry and Markey, Nicolas and Mentr{\'e}, David}, title = {Computing maximally-permissive strategies in acyclic timed automata}, editor = {Bertrand, Nathalie and Jansen, Nils}, booktitle = {{P}roceedings of the 18th {I}nternational {C}onferences on {F}ormal {M}odelling and {A}nalysis of {T}imed {S}ystems ({FORMATS}'20)}, acronym = {{FORMATS}'20}, publisher = {Springer-Verlag}, series = {Lecture Notes in Computer Science}, volume = {12288}, pages = {111-126}, year = {2020}, month = sep, doi = {10.1007/978-3-030-57628-8_7}, abstract = {Timed automata are a convenient mathematical model for modelling and reasoning about real-time systems. While they provide a powerful way of representing timing aspects of such systems, timed automata assume arbitrary precision and zero-delay actions; in~particular, a~state might be declared reachable in a timed automaton, but impossible to reach in the physical system it models. \par In this paper, we consider permissive strategies as a way to overcome this problem: such strategies propose intervals of delays instead of single delays, and aim at reaching a target state whichever delay actually takes place. We develop an algorithm for computing the optimal permissiveness (and~an associated maximally-permissive strategy) in acyclic timed automata and games.}, } |
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