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Hybrid Acceleration using Real Vector Automata
Boigelot, Bernard; Herbreteau, Frédéric; Jodogne, Sébastien
2003In Lecture Notes in Computer Science, 2725, p. 193-205
Peer reviewed
 

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Keywords :
hybrid systems; acceleration
Abstract :
[en] This paper addresses the problem of computing an exact and effective representation of the set of reachable configurations of a linear hybrid automaton. Our solution is based on accelerating the state-space exploration by computing symbolically the repeated effect of control cycles. The computed sets of configurations are represented by Real Vector Automata (RVA), the expressive power of which is beyond that of the first-order additive theory of reals and integers. This approach makes it possible to compute in finite time sets of configurations that cannot be expressed as finite unions of convex sets. The main technical contributions of the paper consist in a powerful sufficient criterion for checking whether a hybrid transformation (i.e., with both discrete and continuous features) can be accelerated, as well as an algorithm for applying such an accelerated transformation on RVA. Our results have been implemented and successfully applied to several case studies, including the well-known leaking gas burner, and a simple communication protocol with timers.
Disciplines :
Computer science
Author, co-author :
Boigelot, Bernard  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Informatique
Herbreteau, Frédéric
Jodogne, Sébastien ;  Centre Hospitalier Universitaire de Liège - CHU > Radiothérapie
Language :
English
Title :
Hybrid Acceleration using Real Vector Automata
Publication date :
July 2003
Event name :
Computer Aided Verification, 15th International Conference
Event place :
Boulder, CO, United States
Event date :
July 2003
Audience :
International
Journal title :
Lecture Notes in Computer Science
ISSN :
0302-9743
eISSN :
1611-3349
Publisher :
Springer, Berlin, Germany
Volume :
2725
Pages :
193-205
Peer reviewed :
Peer reviewed
Funders :
This work was partially funded by a grant of the "Communauté française de Belgique - Direction de la recherche scientifique - Actions de recherche concertées", and by the European IST-FET project ADVANCE (IST-1999-29082).
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