Fixed-time leader-following consensus of multiple uncertain nonholonomic systems: An adaptive distributed observer approach

被引:8
作者
Jin, Zengke [1 ]
Wang, Chaoli [1 ]
Liang, Dong [1 ]
Zuo, Zongyu [2 ]
Liang, Zhenying [3 ]
机构
[1] Univ Shanghai Sci & Technol, Dept Control Sci & Engn, Shanghai, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
[3] Shandong Univ Technol, Sch Math & Stat, Zibo, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2022年 / 359卷 / 12期
基金
上海市自然科学基金;
关键词
COOPERATIVE OUTPUT REGULATION; MULTIAGENT SYSTEMS; STABILIZATION; TRACKING; NETWORKS; DESIGN; AGENTS;
D O I
10.1016/j.jfranklin.2022.06.026
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 discusses the fixed-time leader-following consensus problem for multiple uncertain non-holonomic systems, which are widely used in engineering models. According to our literature review, either the system is assumed to be known, or the uncertainty only contains state information, which does not meet the actual requirements. For this reason, this paper investigates more general nonholonomic systems with uncertainties driven by inputs and states. First, a fixed-time adaptive distributed observer is proposed to estimate the leader's state and structural parameters, which ensures that the estimation errors converge to zero within a fixed time. Second, two regulator equations based on the idea of cooperative output regulation are constructed, and a novel observer-based distributed switching control law is proposed. This control law overcomes the nonholonomic constraints and appropriately relaxes the assumptions of uncertain functions in the existing references. Finally, the simulation results verify the effectiveness of the proposed control scheme. (C) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:6361 / 6391
页数:31
相关论文
共 40 条
[1]  
[Anonymous], 2005, Fourier Series in Control Theory, Springer Monographs in Mathematics
[2]   Finite-time stability of continuous autonomous systems [J].
Bhat, SP ;
Bernstein, DS .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2000, 38 (03) :751-766
[3]   The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems [J].
Cai, He ;
Lewis, Frank L. ;
Hu, Guoqiang ;
Huang, Jie .
AUTOMATICA, 2017, 75 :299-305
[4]   The Leader-Following Consensus for Multiple Uncertain Euler-Lagrange Systems With an Adaptive Distributed Observer [J].
Cai, He ;
Huang, Jie .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (10) :3152-3157
[5]   Distributed fixed-time control of high-order multi-agent systems with non-holonomic constraints * [J].
Chen, Yanyu ;
Zhu, Bing .
JOURNAL OF THE FRANKLIN INSTITUTE, 2021, 358 (06) :2948-2963
[6]   Fixed-time stabilisation and consensus of non-holonomic systems [J].
Defoort, Michael ;
Demesure, Guillaume ;
Zuo, Zongyu ;
Polyakov, Andrey ;
Djemai, Mohamed .
IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (18) :2497-2505
[7]   Consensus Output Regulation of a Class of Heterogeneous Nonlinear Systems [J].
Ding, Zhengtao .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (10) :2648-2653
[8]   Time-Varying Formation Tracking for Linear Multiagent Systems With Multiple Leaders [J].
Dong, Xiwang ;
Hu, Guoqiang .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (07) :3658-3664
[9]   Cooperative Robust Output Regulation for Second-Order Nonlinear Multiagent Systems With an Unknown Exosystem [J].
Dong, Yi ;
Chen, Jie ;
Huang, Jie .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (10) :3418-3425
[10]   Distributed Finite-Time Cooperative Control of Multiple High-Order Nonholonomic Mobile Robots [J].
Du, Haibo ;
Wen, Guanghui ;
Cheng, Yingying ;
He, Yigang ;
Jia, Ruting .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (12) :2998-3006