Title :
Distributed coordinated tracking with multiple dynamic leaders for double-integrator agents using only position measurements
Author :
Jianzhen Li ; Wei Ren ; Shengyuan Xu
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
fDate :
June 29 2011-July 1 2011
Abstract :
This paper studies the distributed coordinated tracking problem for a group of autonomous vehicles modeled by double-integrator dynamics with multiple dynamic leaders. The objective is to drive the followers into the convex hull spanned by the dynamic leaders under the constraints that the velocities and the accelerations of both the leaders and the followers are not available, the leaders are neighbors of only a subset of the followers, and the followers have only local interaction. When the absolute position measurements of the vehicles are available, we propose a distributed finite-time coordinated tracking algorithm. Theoretical analysis shows that the followers will move into the convex hull spanned by the dynamic leaders in finite time if the network topology among the followers is undirected, for each follower there exists at least one leader that has a directed path to the follower, and the parameters in the algorithm are properly chosen. When the absolute position measurements are not available, we propose a distributed adaptive coordinated tracking algorithm using only the relative position measurements. Theoretical analysis shows that the followers will ultimately move into the convex hull spanned by the dynamic leaders under similar conditions to the case where the absolute position measurements are available.
Keywords :
adaptive control; computational geometry; distributed control; mobile robots; multi-robot systems; observers; position control; position measurement; robot dynamics; tracking; vehicles; autonomous vehicles; convex hull; distributed adaptive coordinated tracking algorithm; distributed coordinated tracking problem; distributed finite-time coordinated tracking algorithm; double-integrator agents; leader acceleration; leader velocity; local interaction; multiple dynamic leaders; observer; relative position measurement; undirected network topology; vehicle absolute position measurement; Heuristic algorithms; Lead; Mobile robots; Network topology; Position measurement; Vehicle dynamics; Vehicles;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991402