Title :
Cooperative receding horizon control for multi-target interception in uncertain environments
Author :
Khosravi, Mohammad ; Aghdam, Amir G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montréal, QC, Canada
Abstract :
In this paper, the problem of cooperative dynamic vehicle routing for tracking a set of moving objects with unknown trajectories and dynamics is investigated. The notion of “meeting a target” is defined to describe the tasks and a cooperative receding horizon controller is designed to address the problem. The design is based on the prediction of the future positions of targets with limited information, and a reward allocation strategy for accomplishing the defined tasks. A target tracking scenario is considered, where a sequence of targets arrive in the mission space. It is shown that the number of targets which are not met by any vehicle will remain sufficiently small in time, if the arrival of the targets is sufficiently sufficiently infrequent.
Keywords :
control system synthesis; infinite horizon; mobile robots; multi-robot systems; object tracking; predictive control; trajectory control; uncertain systems; vehicle routing; cooperative dynamic vehicle routing; cooperative receding horizon controller design; mission space; moving object tracking; multitarget interception; reward allocation strategy; target arrival; target future position prediction; target tracking scenario; uncertain environment; unknown dynamics; unknown trajectory; Equations; Space missions; Space vehicles; Trajectory; Vectors; Vehicle dynamics;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040091