Adaptive Fast Finite-Time Consensus for Second-Order Multi-agent Systems

被引：1
|
作者：
Ren, Jiabo [1 ]
Wang, Baofang [1 ]
Cai, Mingjie [1 ]
机构：
[1] Qingdao Univ, Sch Automat, Qingdao 266071, Peoples R China
来源：
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC2019) | 2020年 / 582卷
关键词：
MASs; fast FTC; Adaptive control; STABILIZATION; ALGORITHM; NETWORKS;
D O I：
10.1007/978-981-15-0474-7_100
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We will study the adaptive fast finite-time consensus (FTC) control problem of second-order multi-agent systems (MASs) with unknown dynamics and external disturbances in this paper. Based on the basis of radial basis function neural networks theories, we use it to approximate the unknown functions. According to the consensus protocols and adaptive laws, we will prove that velocity errors of arbitrary two agents reach a small region of zero in finite time as well as position errors. Ultimately, the effectiveness of the designed method is tested through a numerical example.
引用
收藏
页码：1055 / 1067
页数：13
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