Title :
Leader-following consensus for an integrator-type nonlinear multi-agent systems using distributed adaptive protocol
Author :
Chuanrui Wang ; Xinghu Wang ; Haibo Ji
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
This paper deals with the leader-following consensus problem for a class of multi-agent systems with nonlinear dynamics and directed communication topology. Two distributed adaptive nonlinear control laws are proposed based on the relative state information between neighboring agents, which solve the leader-following consensus problem and the inverse optimal adaptive leader-following consensus problem, respectively. Compared with the existing results in the literature, we do not put any restrictions on nonlinear functions and the adaptive consensus protocols are in a fully distributed fashion. A numerical example is given to verify the theoretical analysis.
Keywords :
adaptive control; distributed control; multi-agent systems; nonlinear control systems; nonlinear functions; adaptive consensus protocols; directed communication topology; distributed adaptive nonlinear control laws; distributed adaptive protocol; integrator-type nonlinear multiagent systems; leader-following consensus problem; neighboring agents; nonlinear dynamics; nonlinear functions; relative state information; Laplace equations; Lead; Multi-agent systems; Protocols; Topology; Vehicle dynamics; Multi-agent systems; adaptive control; inverse optimal; nonlinear systems;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6564881