Observer-based output feedback containment control of a class of nonlinear multi-agent systems via adaptive neural control method

被引：0
作者：
Xu, Tingru [1 ]
Lyu, Jianting [1 ,2 ]
Yang, Xinrong [1 ,2 ]
Wang, Xin [1 ,2 ]
机构：
[1] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Peoples R China
[2] Heilongjiang Univ, Heilongjiang Prov Key Lab Theory & Computat Compl, Harbin 150080, Peoples R China
来源：
PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年
基金：
中国国家自然科学基金;
关键词：
Containment control; nonlinear multi-agent system; neural networks; TRACKING CONTROL; CONSENSUS; DYNAMICS;
D O I：
暂无
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 investigates containment control problem for a class of nonlinear multi-agent systems with multiple dynamic leaders, where the condition of zero control input for leader is not assumed. The dynamics of the each subsystem are assumed to be unknown and are estimated using neural networks. A local observer is used to estimate the states and an observer-based neural network controller is designed to guarantee that followers converge to the convex hull spanned by the leaders. Numerical simulations are finally given to show the effectiveness of the obtained results.
引用
收藏
页码：1738 / 1743
页数：6
相关论文
共 23 条
  • [1] An Integrated Localization and Control Framework for Multi-Agent Formation
    Cai, Yang
    Shen, Yuan
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (07) : 1941 - 1956
  • [2] Consensus-based distributed cooperative learning control for a group of discrete-time nonlinear multi-agent systems using neural networks
    Chen, Weisheng
    Hua, Shaoyong
    Ge, Shuzhi Sam
    [J]. AUTOMATICA, 2014, 50 (09) : 2254 - 2268
  • [3] Distributed adaptive fault-tolerant containment control for a class of multi-agent systems with non-identical matching non-linear functions
    Deng, Chao
    Yang, Guang-Hong
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (03) : 273 - 281
  • [4] Network-based practical set consensus of multi-agent systems subject to input saturation
    Ding, Lei
    Zheng, Wei Xing
    Guo, Ge
    [J]. AUTOMATICA, 2018, 89 : 316 - 324
  • [5] Containment Control for Directed Networks Multi-agent System with Nonlinear Dynamics and Communication Time-delays
    Li, Bo
    Chen, Zeng-Qiang
    Zhang, Chun-Yan
    Liu, Zhong-Xin
    Zhang, Qing
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (03) : 1181 - 1188
  • [6] Containment control of linear multi-agent systems with multiple leaders of bounded inputs using distributed continuous controllers
    Li, Zhongkui
    Duan, Zhisheng
    Ren, Wei
    Feng, Gang
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2015, 25 (13) : 2101 - 2121
  • [7] Distributed containment control of multi-agent systems with general linear dynamics in the presence of multiple leaders
    Li, Zhongkui
    Ren, Wei
    Liu, Xiangdong
    Fu, Mengyin
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2013, 23 (05) : 534 - 547
  • [8] Cooperative global robust output regulation for a class of nonlinear multi-agent systems by distributed event-triggered control
    Liu, Wei
    Huang, Jie
    [J]. AUTOMATICA, 2018, 93 : 138 - 148
  • [9] Neural-Network-Based Distributed Adaptive Robust Control for a Class of Nonlinear Multiagent Systems With Time Delays and External Noises
    Ma, Hongwen
    Wang, Zhuo
    Wang, Ding
    Liu, Derong
    Yan, Pengfei
    Wei, Qinglai
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (06): : 750 - 758
  • [10] Distributed containment control for Lagrangian networks with parametric uncertainties under a directed graph
    Mei, Jie
    Ren, Wei
    Ma, Guangfu
    [J]. AUTOMATICA, 2012, 48 (04) : 653 - 659
123