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Counter-Example Guided Predicate Abstraction of Hybrid Systems

  • Rajeev Alur
  • Thao Dang
  • Franjo Ivančić1
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2619)

Abstract

Predicate abstraction has emerged to be a powerful technique for extracting finite-state models from infinite-state systems, and has been recently shown to enhance the effectiveness of the reachability computation techniques for hybrid systems. Given a hybrid system with linear dynamics and a set of linear predicates, the verifier performs an on-the-fly search of the finite discrete quotient whose states correspond to the truth assignments to the input predicates. The success of this approach depends on the choice of the predicates used for abstraction. In this paper, we focus on identifying these predicates automatically by analyzing spurious counter-examples generated by the search in the abstract state-space. We present the basic techniques for discovering new predicates that will rule out closely related spurious counter-examples, optimizations of these techniques, implementation of these in the verification tool, and case studies demonstrating the promise of the approach.

Keywords

Hybrid System Abstract State Reachable State Abstract System Hybrid Automaton 
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 2003

Authors and Affiliations

  • Rajeev Alur
    • 1
  • Thao Dang
    • 2
  • Franjo Ivančić1
    • 1
  1. 1.University of Pennsylvania
  2. 2.VERIMAGUSA

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