z-logo
open-access-imgOpen Access
Verifying Industrial Hybrid Systems with MathSAT
Author(s) -
Gilles Audemard,
Marco Bozzano,
Alessandro Cimatti,
Roberto Sebastiani
Publication year - 2005
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2004.12.022
Subject(s) - undecidable problem , bounded function , reachability , boolean satisfiability problem , decidability , satisfiability , automaton , mathematics , reachability problem , leverage (statistics) , solver , discrete mathematics , computer science , theoretical computer science , hybrid system , mathematical optimization , artificial intelligence , mathematical analysis , machine learning
Industrial systems of practical relevance can be often characterized in terms of discrete control variables and real-valued physical variables, and can therefore be modeled as hybrid automata. Unfortunately, continuity of the physical behaviour over time, or triangular constraints, must often be assumed, which yield an undecidable class of hybrid automata.In this paper, we propose a technique for bounded reachability of linear hybrid automata, based on the reduction of a bounded reachability problem to a MathSAT problem, i.e. satisfiability of a boolean combination of propositional variables and mathematical constraints. The MathSAT solver can be used to check the existence (or absence) of paths of bounded length.The approach is very similar in spirit to SAT-based bounded model checking; furthermore, the ability to reason directly about real variables gives computational leverage over discretization-based methods. Despite the undecidability of the general problem, the proposed method is able to provide valuable information on large designs of practical relevance

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom