Adaptive leaderless consensus control of a class of strict-feedback nonlinear multi-agent systems with unknown control directions: A non-Nussbaum function based approach

被引：8
|
作者：
Ao, Wengang [1 ]
Huang, Jiangshuai [2 ,3 ]
Xue, Fangzheng [2 ]
机构：
[1] Chongqing Technol & Business Univ, Natl Res Base Intelligent Mfg Serv, Chongqing 400067, Peoples R China
[2] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
[3] Chongqing Normal Univ, Key Lab Optimizat & Control, Minist Educ, Chongqing 400047, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 17期
基金：
中国国家自然科学基金;
关键词：
COOPERATIVE TRACKING CONTROL; SLIDING-MODE; DESIGN;
D O I：
10.1016/j.jfranklin.2020.08.044
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 solves the leaderless consensus problem of a class of strict-feedback uncertain nonlinear multi-agent systems with unknown control directions and unknown system parameters. Without using the Nussbaum function approach, a novel control scheme is proposed by means of the switching mechanism. The control algorithm guarantees that consensus errors converge to the origin asymptotically, and the amplitude of the control signals are much smaller compared with those using Nussbaum functions. The simulation results illustrate the effectiveness of the proposed algorithm. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：12180 / 12196
页数：17
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