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MINIMAL TIME PROBLEMS WITH MOVING TARGETS AND OBSTACLES

Authors :
Olivier Bokanowski
Hasnaa Zidani
Control, Optimization, Models, Methods and Applications for Nonlinear Dynamical Systems (Commands)
Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP)
École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Laboratoire Jacques-Louis Lions (LJLL)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Optimisation et commande (OC)
Unité de Mathématiques Appliquées (UMA)
École Nationale Supérieure de Techniques Avancées (ENSTA Paris)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris)
European Project: 264735,EC:FP7:PEOPLE,FP7-PEOPLE-2010-ITN,SADCO(2011)
Source :
18th IFAC World Congress, 18th IFAC World Congress, 2011, Milano, Italy. pp.2589-2593, ⟨10.3182/20110828-6-IT-1002.02261⟩
Publication Year :
2011
Publisher :
Elsevier BV, 2011.

Abstract

International audience; We consider minimal time problems governed by nonlinear systems under general time dependant state constraints and in the two-player games setting. In general, it is known that the characterization of the minimal time function, as well as the study of its regularity properties, is a difficult task in particular when no controlability assumption is made. In addition to these difficulties, we are interested here to the case when the target, the state constraints and the dynamics are allowed to be time-dependent. We introduce a particular "reachability" control problem, which has a supremum cost function but is free of state constraints. This auxiliary control problem allows to characterize easily the backward reachable sets, and then, the minimal time function, without assuming any controllability assumption. These techniques are linked to the well known level-set approachs. Partial results of the study have been published recently by the authors in SICON. Here, we generalize the method to more complex problems of moving target and obstacle problems. Our results can be used to deal with motion planning problems with obstacle avoidance.

Details

ISSN :
14746670
Volume :
44
Database :
OpenAIRE
Journal :
IFAC Proceedings Volumes
Accession number :
edsair.doi.dedup.....100a8af691c1c8208d69799a962401ff
Full Text :
https://doi.org/10.3182/20110828-6-it-1002.02261