Title :
Distributed tracking and connectivity maintenance with a varying velocity leader
Author :
Lin Wang ; Xiaofan Wang ; Xiaoming Hu
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
This paper investigates a distributed tracking problem for multi-agent systems with a varying-velocity leader. The leader modeled by a double integrator can only be perceived by followers located within a sensing distance. The objective is to drive the followers with bounded control law to maintain connectivity, avoid collision and further track the leader, with no need of acceleration measurements. Two cases are considered: the acceleration of the leader is bounded; and the acceleration has a linear form. In the first case, the relative velocities of neighbors are integrated and transmitted as a new variable to account for the uncertain time-varying acceleration. In the second case, two distributed estimators are added for the leader´s position and velocity. Simulations are presented to show the effectiveness of the proposed control laws.
Keywords :
acceleration measurement; centralised control; collision avoidance; distributed control; distributed sensors; distributed tracking; multi-agent systems; position control; time-varying systems; acceleration measurement; bounded control law; collision avoidance; connectivity maintenance; control laws; distributed estimator; distributed tracking problem; double integrator; leader position; multiagent systems; relative velocities; sensing distance; uncertain time-varying acceleration; varying velocity leader; Acceleration; Accelerometers; Algorithm design and analysis; Lead; Maintenance engineering; Robot sensing systems;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485125