Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity

被引:51
作者
Hu, Yuebing [1 ]
Su, Housheng [2 ]
Lam, James [1 ]
机构
[1] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
[2] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive consensus; Lipschitz condition; multi-agent systems; nonlinearity; second-order consensus; virtual leader; MULTIAGENT SYSTEMS; FLOCKING; SYNCHRONIZATION;
D O I
10.1002/rnc.2811
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the second-order consensus problem of multi-agent systems with a virtual leader, where all agents and the virtual leader share the same intrinsic dynamics with a locally Lipschitz condition. It is assumed that only a small fraction of agents in the group are informed about the position and velocity of the virtual leader. A connectivity-preserving adaptive controller is proposed to ensure the consensus of multi-agent systems, wherein no information about the nonlinear dynamics is needed. Moreover, it is proved that the consensus can be reached globally with the proposed control strategy if the degree of the nonlinear dynamics is smaller than some analytical value. Numerical simulations are further provided to illustrate the theoretical results. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:978 / 990
页数:13
相关论文
共 29 条
[1]  
[Anonymous], 2002, Synchronization in coupled chaotic circuits and systems
[2]   Reaching a consensus in a dynamically changing environment: Convergence rates, measurement delays, and asynchronous events [J].
Cao, Ming ;
Morse, A. Stephen ;
Anderson, Brian D. O. .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2008, 47 (02) :601-623
[3]   Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems with Uncertainties [J].
Cheng, Long ;
Hou, Zeng-Guang ;
Tan, Min ;
Lin, Yingzi ;
Zhang, Wenjun .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (08) :1351-1358
[4]   Distributed adaptive control for synchronization of unknown nonlinear networked systems [J].
Das, Abhijit ;
Lewis, Frank L. .
AUTOMATICA, 2010, 46 (12) :2014-2021
[5]  
Fax JA, 2004, IEEE T AUTOMATIC CON, V49, P1465
[6]   Tracking control for multi-agent consensus with an active leader and variable topology [J].
Hong, Yiguang ;
Hu, Jiangping ;
Gao, Linxin .
AUTOMATICA, 2006, 42 (07) :1177-1182
[7]   Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks [J].
Hou, Zeng-Guang ;
Cheng, Long ;
Tan, Min .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (03) :636-647
[8]  
Khalil H., 2002, Control of Nonlinear Systems
[9]   Decentralized control of vehicle formations [J].
Lafferriere, G ;
Williams, A ;
Caughman, J ;
Veerman, JJP .
SYSTEMS & CONTROL LETTERS, 2005, 54 (09) :899-910
[10]   Bridge the gap between the Lorenz system and the Chen system [J].
Lü, JH ;
Chen, GR ;
Cheng, DZ ;
Celikovsky, S .
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2002, 12 (12) :2917-2926