Iterative Consensus for a Class of Second-order Multi-agent Systems

被引：21
|
作者：
Shi, Jiantao [1 ]
He, Xiao [1 ]
Wang, Zidong [1 ,2 ]
Zhou, Donghua [1 ]
机构：
[1] Tsinghua Univ, TNList, Dept Automat, Beijing 100084, Peoples R China
[2] Brunel Univ, Dept Informat Syst & Comp, Uxbridge UB8 3PH, Middx, England
来源：
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 2014年 / 73卷 / 1-4期
基金：
中国国家自然科学基金;
关键词：
Iterative learning control; Consensus; Multi-agent system; Double integrator dynamics; FINITE-TIME CONSENSUS; ALGORITHMS; AGENTS;
D O I：
10.1007/s10846-013-9996-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the problem of leader-following consensus for a class of multi-agent systems with double integrator dynamics is investigated based on an iterative learning approach. Consensus errors of individual agents are considered as the anticipation in time, based on which a distributed iterative learning protocol is proposed for the undirected networks with fixed topology to make the followers track the leader in finite time. The dynamic of the leader is assumed to be time-varying and the state information is available to only a portion of the followers. The sufficient condition for solving the consensus problem of the multi-agent system is obtained. A simulation example is provided to demonstrate the effectiveness of the proposed method.
引用
收藏
页码：655 / 664
页数：10
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