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General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency:  semiannually
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms. Cecilia Xie
    • Abstracting/ Indexing: CNKI, EBSCO, ProQuest,Google Scholar, etc.
    • E-mail: editor@ijmo.org
    • APC: 500USD
Editor-in-Chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of Editor-in-Chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(6): 681-686
doi: 10.7763/IJMO.2012.V2.209

Reachability Analysis of Hybrid Systems an Experience Report

Manish Goyal

  • Indian Institute of Technology Guwahati, India.

Abstract

Hybrid systems are mathematical models ofcontrol systems whose safety verification is critical for manyapplications. In practice, a rigorous tool is still not available forverifying every class of hybrid systems. HyTech was the firstattempt in this direction followed by PHaver, both restricted toLinear Hybrid Automata (LHA). HSolver is another successfulcontribution for verification of nonlinear systems. PHaver canefficiently verify safety properties with the help of piecewiseconstant bounds on derivatives. Its use is greatly motivated byon-the-fly over approximations of piecewise affine dynamics withvarious user-specified parameters. HSolver verifies safety ofnonlinear systems using constraint propagation based abstractionrefinement. We have evaluated a few examples and shown thatboth tools have their strengths and weaknesses. In all theexamples, the approximation of nonlinear systems by linearsystems is performed by the rate translation.

Keywords

  • HSolver
  • Hybrid systems
  • rate translation
  • reachability analysis
  • PHAVer
209-S10011

How to Cite

Copied

Manish Goyal, "Reachability Analysis of Hybrid Systems an Experience Report," International Journal of Modeling and Optimization, vol. 2, no. 6, pp. 681-686, 2012. https://doi.org/ 10.7763/IJMO.2012.V2.209

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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