Distributed synchronization of autonomous underwater vehicles with memorized protocol

被引：4
作者：
Ma, Chao [1 ,2 ]
Wu, Wei [2 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing, Peoples R China
[2] Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS | 2019年 / 16卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Autonomous underwater vehicles; sampled-data control; distributed synchronization; memorized protocol; Lyapunov-Krasovskii functional method; SYSTEMS; TRACKING; DESIGN;
D O I：
10.1177/1729881419844149
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
This article investigates the distributed synchronization problem of autonomous underwater vehicles by developing a novel synchronization protocol with memorized controller. More precisely, the memory information for information exchanges of autonomous underwater vehicles is utilized such that the synchronization performance can be improved. By employing the Lyapunov-Krasovskii functional method with model transformation, sufficient criteria are established for guaranteeing the synchronization, and the corresponding distributed synchronization controllers are designed based on matrix techniques. Finally, the effectiveness and benefits of our theoretical method are supported by an illustrative example with simulation results.
引用
收藏
页数：9
相关论文
共 27 条
  • [1] Modeling and control of the yaw channel of a UAV helicopter
    Cai, Guowei
    Chen, Ben M.
    Peng, Kemao
    Dong, Miaobo
    Lee, Tong H.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (09) : 3426 - 3434
  • [2] Memory-based controller design for neutral time-delay systems with input saturations: A novel delay-dependent polytopic approach
    Chen, Yonggang
    Wang, Zidong
    Qian, Wei
    Alsaadi, Fuad E.
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (13): : 5245 - 5265
  • [3] Synchronization of multiple autonomous underwater vehicles without velocity measurements
    Cui RongXin
    Yan WeiSheng
    Xu DeMin
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2012, 55 (07) : 1693 - 1703
  • [4] Co-operative control coordination of a team of underwater vehicles with communication constraints
    Das, Bikramaditya
    Subudhi, Bidyadhar
    Pati, Bibhuti Bhusan
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2016, 38 (04) : 463 - 481
  • [5] Output Feedback Control of a Quadrotor UAV Using Neural Networks
    Dierks, Travis
    Jagannathan, Sarangapani
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (01): : 50 - 66
  • [6] Decentralized Control of Multi-AGV Systems in Autonomous Warehousing Applications
    Draganjac, Ivica
    Miklic, Damjan
    Kovaci, Zdenko
    Vasiljevic, Goran
    Bogdan, Stjepan
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2016, 13 (04) : 1433 - 1447
  • [7] Methodologies to Optimize Automated Guided Vehicle Scheduling and Routing Problems: A Review Study
    Fazlollahtabar, Hamed
    Saidi-Mehrabad, Mohammad
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2015, 77 (3-4) : 525 - 545
  • [8] Fossen T., 1994, Guidance and Control of Ocean Vehicles
  • [9] Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems
    Li, Hongyi
    Jing, Xingjian
    Lam, Hak-Keung
    Shi, Peng
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2014, 44 (07) : 1111 - 1126
  • [10] Receding Horizon Formation Tracking Control of Constrained Underactuated Autonomous Underwater Vehicles
    Li, Huiping
    Xie, Pan
    Yan, Weisheng
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (06) : 5004 - 5013
123