DocumentCode :
2289237
Title :
Encapsulated path planning for abstraction-based control of multi-vehicle systems
Author :
Rao, Venkatesh G. ; Wongpiromsarn, Tichakorn ; Ho, Thientu ; Chung, Kimberly ; D´Andrea, Raffaello
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY
fYear :
2006
fDate :
14-16 June 2006
Abstract :
We introduce an encapsulation approach to path planning for multi-vehicle control that permits other decision processes to work with simple, spatially-abstracted domain models, and partially or wholly ignore obstacles, observation uncertainty and vehicle dynamics. The encapsulation results in formal domain representations called patch models that generate path planning problems in two standard forms: patch realization and differential patch realization, that we formulate and address in this paper. We present enhancements to existing ways of partitioning the path planning problem, and also present enhancements for each component. Conditions are presented characterizing domains suitable for abstraction-based methods
Keywords :
multivariable systems; path planning; realisation theory; uncertain systems; vehicle dynamics; abstraction-based control; differential patch realization; encapsulated path planning; multivehicle systems; observation uncertainty; obstacles; patch models; spatially-abstracted domain models; vehicle dynamics; Command and control systems; Control systems; Encapsulation; Humans; Kernel; Path planning; Process control; Processor scheduling; Uncertainty; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
Type :
conf
DOI :
10.1109/ACC.2006.1657176
Filename :
1657176
Link To Document :
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