%0 Conference Proceedings
%T Automated Generation of Optimal Controllers through Model Checking Techniques
%A Della Penna, Giuseppe
%A Magazzeni, Daniele
%A Tofani, Alberto
%A Intrigila, Benedetto
%A Melatti, Igor
%A Tronci, Enrico
%Y Andrade-Cetto, J.
%Y Ferrier, J.-L.
%Y Pereira, J. M. C. D.
%Y Filipe, J.
%S Icinco-Icso
%D 2006
%I INSTICC Press
%@ 972-8865-59-7
%F DellaPenna_etal2006
%O exported from refbase (http://mclab.di.uniroma1.it/publications/show.php?record=79), last updated on Sat, 24 Nov 2012 14:03:00 +0100
%X 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.
%R 10.1007/978-3-540-79142-3
%U http://dblp.uni-trier.de/db/conf/icinco/icinco2006-icso.html#PennaMTIMT06
%U http://mclab.di.uniroma1.it/publications/papers/papers/Della Penna2006.pdf
%U https://doi.org/10.1007/978-3-540-79142-3
%P 26-33