Title :
Algorithms and experiments for multi-vehicle systems in diverse motion patterns
Author :
Hai-Tao, Zhang ; Zhiyong, Chen ; Ming-Can, Fan
Author_Institution :
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China
Abstract :
In this paper, a decentralized control algorithm is proposed for a group of vehicles to form diverse collective motion patterns. Without the guidance of a global beacon or a global reference framework, the desired collective behavior occurs provided that the associated network of the multi-vehicle system is jointly-connected. The effectiveness of the approach is verified through theoretical analysis, numerical simulation, and experimental results.
Keywords :
Dynamics; Robot kinematics; Trajectory; Vehicle dynamics; Vehicles; Collaborative control; Collective motion; Multi-agents; Torus;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260836