Formation-Tracking Control of Autonomous Vehicles Under Relaxed Persistency of Excitation Conditions

被引:33
|
作者
Maghenem, Mohamed [1 ]
Loria, Antonio [2 ]
Panteley, Elena [2 ,3 ]
机构
[1] Univ Paris Saclay, F-91400 Orsay, France
[2] CantraleSupelec, CNRS, Lab Signaux & Syst, F-91192 Gif Sur Yvette, France
[3] ITMO Univ, St Petersburg 197101, Russia
关键词
Formation control; Matrosov theorem; mobile robots; persistency of excitation; NONHOLONOMIC MOBILE ROBOT; FOLLOWER FORMATION CONTROL; TIME-VARYING SYSTEMS; FEEDBACK CONTROLLER; CHAINED SYSTEMS; STABILIZATION;
D O I
10.1109/TCST.2017.2734053
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 present a smooth nonlinear time-varying formation-tracking controller for autonomous vehicles modeled as a nonholonomic unicycle. Our first result consists of a leader-follower tracking controller that guarantees uniform global asymptotic stability under the standing assumption that either the rotational or the translational reference velocity is persistently exciting. Then, we extend this result to the case of formation control of a swarm of vehicles. We show that this problem may be solved via decentralized tracking control, under the assumption that each robot communicates with one leader and one follower.
引用
收藏
页码:1860 / 1865
页数:6
相关论文
共 50 条
  • [41] Trajectory tracking control for autonomous underwater vehicles under quantized state feedback and ocean disturbances
    Zhou, Bin
    Su, Yumin
    Huang, Bing
    Wang, Weikai
    Zhang, Enhua
    OCEAN ENGINEERING, 2022, 256
  • [42] Robust Formation Control of Underactuated Autonomous Underwater Vehicles with Disturbances under Input Saturation
    Li, Jian
    Du, Jialu
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 6931 - 6936
  • [43] Formation control of impulsive networked autonomous underwater vehicles under fixed and switching topologies
    Hu, Zhongliang
    Ma, Chao
    Zhang, Lixian
    Halme, Aarne
    Hayat, Tasawar
    Ahmad, Bashir
    NEUROCOMPUTING, 2015, 147 : 291 - 298
  • [44] Distributed predictive formation control for autonomous underwater vehicles under dynamic switching topology
    Xu, Bo
    Wang, Zhaoyang
    Shen, Hao
    OCEAN ENGINEERING, 2022, 262
  • [45] Robust Adaptive Formation Control of Underactuated Autonomous Underwater Vehicles Under Input Saturation
    Li, Jian
    Du, Jialu
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 5798 - 5803
  • [46] Neuro-Adaptive Formation Tracking for Networked Autonomous Surface Vehicles Under Time Delay via Hierarchical Information Security Control
    Zhang, Xiao-Yu
    Han, Tao
    Xiao, Bo
    Yan, Huaicheng
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2025, 26 (03) : 3831 - 3841
  • [47] Tracking-in-Formation of Multiple Autonomous Marine Vehicles under Proximity and Collision-Avoidance Constraints
    Restrepo, Esteban
    Matous, Josef
    Pettersen, Kristin Y.
    2022 EUROPEAN CONTROL CONFERENCE (ECC), 2022, : 930 - 937
  • [48] Adaptable Robot Formation Control Adaptive and Predictive Formation Control of Autonomous Vehicles
    Guillet, Audrey
    Lenain, Roland
    Thuilot, Benoit
    Martinet, Philippe
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2014, 21 (01) : 28 - 39
  • [49] Hierarchical Adaptive Path-Tracking Control for Autonomous Vehicles
    Chen, Changfang
    Jia, Yingmin
    Shu, Minglei
    Wang, Yinglong
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (05) : 2900 - 2912
  • [50] A robust lateral tracking control strategy for autonomous driving vehicles
    Zhang, Wei
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 150