The image computation problem in hybrid systems model checking

  • Authors:
  • André Platzer;Edmund M. Clarke

  • Affiliations:
  • University of Oldenburg, Department of Computing Science, Germany;Carnegie Mellon University, Computer Science Department, Pittsburgh, PA

  • Venue:
  • HSCC'07 Proceedings of the 10th international conference on Hybrid systems: computation and control
  • Year:
  • 2007

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Abstract

In this paper, we analyze limits of approximation techniques for (non-linear) continuous image computation in model checking hybrid systems. In particular, we show that even a single step of continuous image computation is not semidecidable numerically even for a very restricted class of functions. Moreover, we show that symbolic insight about derivative bounds provides sufficient additional information for approximation refinement model checking. Finally, we prove that purely numerical algorithms can perform continuous image computation with arbitrarily high probability. Using these results, we analyze the prerequisites for a safe operation of the roundabout maneuver in air traffic collision avoidance.