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Exact State Set Representations in the Verification of Linear Hybrid Systems with Large Discrete State Space

  • Werner Damm
  • Stefan Disch
  • Hardi Hungar
  • Swen Jacobs
  • Jun Pang
  • Florian Pigorsch
  • Christoph Scholl
  • Uwe Waldmann
  • Boris Wirtz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4762)

Abstract

We propose algorithms significantly extending the limits for maintaining exact representations in the verification of linear hybrid systems with large discrete state spaces. We use AND-Inverter Graphs (AIGs) extended with linear constraints (LinAIGs) as symbolic representation of the hybrid state space, and show how methods for maintaining compactness of AIGs can be lifted to support model-checking of linear hybrid systems with large discrete state spaces. This builds on a novel approach for eliminating sets of redundant constraints in such rich hybrid state representations by a suitable exploitation of the capabilities of SMT solvers, which is of independent value beyond the application context studied in this paper. We used a benchmark derived from an Airbus flap control system (containing 220 discrete states) to demonstrate the relevance of the approach.

Keywords

Model Check Boolean Function Linear Constraint Discrete Transition Boolean Combination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Werner Damm
    • 2
    • 3
  • Stefan Disch
    • 1
  • Hardi Hungar
    • 3
  • Swen Jacobs
    • 4
  • Jun Pang
    • 2
  • Florian Pigorsch
    • 1
  • Christoph Scholl
    • 1
  • Uwe Waldmann
    • 4
  • Boris Wirtz
    • 2
  1. 1.Albert-Ludwigs-Universität Freiburg, Georges-Köhler-Allee 51, 79110 FreiburgGermany
  2. 2.Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26111 OldenburgGermany
  3. 3.OFFIS e.V., Escherweg 2, 26121 OldenburgGermany
  4. 4.Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, 66123 SaarbrückenGermany

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