Title :
A novel adaptive flocking algorithm for multi-agents system with time delay and nonlinear dynamics
Author :
Yang Zhengquan ; Zhang Qing ; Chen Zengqiang
Author_Institution :
Coll. of Sci., Civil Aviation Univ. of China, Tianjin, China
Abstract :
In this paper, flocking problem of multi-agents with time delay is investigated. All agents of the system are governed by a nonlinear intrinsic dynamics. An adaptive flocking algorithm for multi-agents system with time delay and nonlinear dynamics is proposed. It is proved that the distance between agents can be larger than a constant during the motion evolution by using the flocking algorithm. Moreover all agents´ velocities asymptotically tend to the same. The simulation results verify the effectiveness of the proposed scheme.
Keywords :
adaptive control; delays; multi-agent systems; multi-robot systems; nonlinear control systems; adaptive flocking algorithm; agent distance; agent velocity; motion evolution; multi-agents flocking problem; multi-agents system; nonlinear dynamics; nonlinear intrinsic dynamics; time delay; Algorithm design and analysis; Delay effects; Educational institutions; Heuristic algorithms; Multi-agent systems; Nonlinear dynamical systems; Switches; Multi-agents; flocking; nonlinear dynamics; time delay;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
