• DocumentCode
    3158511
  • Title

    Reachability Analysis Of Linear Hybrid Automata By Using Counterexample Fragment Based Abstraction Refinement

  • Author

    Jiang, Shengbing

  • Author_Institution
    GM R&D & Planning, Warren
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    4172
  • Lastpage
    4177
  • Abstract
    We study the reachability problem of linear hybrid automata. We introduce the notion of linear transition systems that are purely discrete transition systems and do not involve any continuous time dynamics by differential equations. We prove that the reachability problem for linear hybrid automata is equivalent to the reachability problem for linear transition systems. We provide an approach for the reachability analysis of linear transition systems by using counterexample fragment based abstraction refinement. The counterexample validation problem is reduced to the linear constraint satisfaction problem and can be solved by using methods like linear programming. An algorithm of good complexity is provided for the counterexample fragment identification. A new approach for the abstraction refinement is provided based on the identified counterexample fragment and it does not require any computation or representation of reachable state sets in the abstract model, which makes the approach very promising for systems with large number of variables.
  • Keywords
    automata theory; constraint theory; differential equations; linear programming; reachability analysis; continuous time dynamics; counterexample fragment based abstraction refinement; differential equation; discrete transition system; linear constraint satisfaction problem; linear hybrid automata; linear programming; linear transition system; reachability analysis; Arithmetic; Automata; Cities and towns; Differential equations; Linear programming; Postal services; Reachability analysis; Research and development; Safety; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2007. ACC '07
  • Conference_Location
    New York, NY
  • ISSN
    0743-1619
  • Print_ISBN
    1-4244-0988-8
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2007.4282139
  • Filename
    4282139