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