Adaptive Leader-Following Consensus for Second-Order Time-Varying Nonlinear Multiagent Systems

被引：86
|
作者：
Hua, Changchun [1 ]
You, Xiu [1 ]
Guan, Xinping [2 ]
机构：
[1] Yanshan Univ, Coll Elect Engn, Qinhuangdao 066004, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Elect & Elect Engn, Shanghai 200240, Peoples R China
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2017年 / 47卷 / 06期
基金：
国家教育部博士点专项基金资助; 中国国家自然科学基金;
关键词：
Adaptive control; distributed control; leader-following consensus; multiagent systems; time-varying nonlinear systems; DOUBLE-INTEGRATOR DYNAMICS; OUTPUT-FEEDBACK; SYNCHRONIZATION; NETWORKS; TRACKING; ALGORITHMS; AGENTS;
D O I：
10.1109/TCYB.2016.2551220
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The leader-following consensus problem is investigated for second-order time-varying nonlinear multiagent systems with unmodeled dynamics and unknown parameters over directed communication topology. Under the assumption that the unknown nonlinearities satisfy Lipschitz conditions with time-varying gains, a local adaptive law is introduced for the design of consensus protocol that enable all followers' state variables to consensus with that of leader asymptotically. The proposed protocols are independent of system parameters and only require the relative state information of its neighbors, and hence they are fully distributed. Simulation examples are given to illustrate the effectiveness of the theoretical results.
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页码：1532 / 1539
页数：8
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