Automated Generation of Optimal Controllers through Model Checking Techniques

  • Giuseppe Della Penna
  • Daniele Magazzeni
  • Alberto Tofani
  • Benedetto Intrigila
  • Igor Melatti
  • Enrico Tronci
Part of the Lecture Notes Electrical Engineering book series (LNEE, volume 15)


We present a methodology for the synthesis of controllers, which exploits (explicit) model checking techniques. That is, we can cope with the systematic exploration of a very large state space. This methodology can be applied to systems where other approaches fail. In particular, we can consider systems with an highly non-linear dynamics and lacking a uniform mathematical description (model). We can also consider situations where the required control action cannot be specified as a local action, and rather a kind of planning is required. Our methodology individuates first a raw optimal controller, then extends it to obtain a more robust one. A case study is presented which considers the well known truck-trailer obstacle avoidance parking problem, in a parking lot with obstacles on it. The complex non-linear dynamics of the truck-trailer system, within the presence of obstacles, makes the parking problem extremely hard. We show how, by our methodology, we can obtain optimal controllers with different degrees of robustness.


Controller Synthesis Controller Optimization Model Checking Nonlinear Systems 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Giuseppe Della Penna
    • 1
  • Daniele Magazzeni
    • 1
  • Alberto Tofani
    • 1
  • Benedetto Intrigila
    • 2
  • Igor Melatti
    • 3
  • Enrico Tronci
    • 3
  1. 1.Dipartimento di InformaticaUniversitÀ di L’AquilaItaly
  2. 2.Dipartimento di Matematica Pura ed ApplicataUniversitÀ di Roma “Tor Vergata”Italy
  3. 3.Dipartimento di InformaticaUniversità di Roma “La Sapienza”Italy

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