Title : 
Distributed controller for collective motion of agents based on bounded potential functions
         
        
            Author : 
Wang Lin ; Wang Xiaofan
         
        
            Author_Institution : 
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
         
        
        
        
        
        
            Abstract : 
In this paper, we develop a distributed controller for a group of local interaction agents, which consists of four elements: a bounded repulsive potential field, a bounded attractive potential field, a velocity matching term, and a desired moving mode. We prove that under some initial conditions, the control law not only can drive a group of agents to synchronization with a desired moving mode, but also can avoid the collision as well as preserve the connectivity among agents for all time. Simulation results are presented to demonstrate the theoretical results.
         
        
            Keywords : 
collision avoidance; distributed control; motion control; multi-agent systems; agent group; bounded attractive potential field; bounded potential function; bounded repulsive potential field; collective motion; collision avoidance; desired moving mode; distributed controller; synchronization; velocity matching term; Collision avoidance; Lead; Nickel; Protocols; Shape; Symmetric matrices; Synchronization; Bounded Potential Functions; Distributed Controller; LaSalle´s Invariance Principle; Synchronization;
         
        
        
        
            Conference_Titel : 
Control Conference (CCC), 2010 29th Chinese
         
        
            Conference_Location : 
Beijing
         
        
            Print_ISBN : 
978-1-4244-6263-6