<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Plaku, E.</style></author><author><style face="normal" font="default" size="100%">L. E. Kavraki</style></author><author><style face="normal" font="default" size="100%">Moshe Y. Vardi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Hybrid Systems: From Verification to Falsification</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Computer Aided Verification (CAV)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">hybrid systems</style></keyword><keyword><style  face="normal" font="default" size="100%">HyDICE</style></keyword><keyword><style  face="normal" font="default" size="100%">kavrakilab</style></keyword><keyword><style  face="normal" font="default" size="100%">kinodynamic/physics-based motion planning</style></keyword><keyword><style  face="normal" font="default" size="100%">multi-layered synergistic planning</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/content/h08451055222lw8v/?p=d6bcf97446c84aa8b9415d6d13e90699&pi=1</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Lecture Notes in Computer Science, Springer-Verlag Heidelberg</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin, Germany</style></pub-location><volume><style face="normal" font="default" size="100%">4590</style></volume><pages><style face="normal" font="default" size="100%">468--481</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We propose HyDICE, Hybrid DIscrete Continuous Exploration,
               a multi-layered approach for hybrid-system testing that integrates 
               continuous sampling-based robot motion planning with discrete searching. 
               The discrete search uses the discrete transitions of the hybrid system and
               coarse-grained decompositions of the continuous state spaces or related
               projections to guide the motion planner during the search for witness
               trajectories. Experiments presented in this paper, using a hybrid system
               inspired by robot motion planning and with nonlinear dynamics associated 
               with each of several thousand modes, provide an initial validation of
               HyDICE and demonstrate its promise as a hybrid-system testing method.
               Comparisons to related work show computational speedups of up to two
               orders of magnitude.</style></abstract><work-type><style face="normal" font="default" size="100%">incollection</style></work-type></record></records></xml>
