Formation tracking of multiple amphibious robots with unknown nonlinear dynamics

被引:1
作者
Wu, Di [1 ]
Hao, Lichao [1 ]
Xu, Xiujun [1 ]
Wang, Hongjian [1 ]
Zhou, Jiajia [1 ]
机构
[1] Harbin Engn Univ, Coll Automat, Room 502,Bldg 41,Nantong St, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Formation tracking; jointly connected; multi-agent; nonlinear dynamics; MULTIAGENT SYSTEMS; CONSENSUS; SYNCHRONIZATION; NETWORKS;
D O I
10.1177/1729881420938547
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Cooperative tracking control problem of multiple water-land amphibious robots is discussed in this article with consideration of unknown nonlinear dynamics. Firstly, the amphibious robot dynamic model is formulated as an uncoupled nonlinear one in horizontal plane through eliminating relatively small sway velocity of the platform. Then cooperative tracking control algorithm is proposed with a two-stage strategy including dynamic control stage and kinematic control stage. In dynamic control stage, adaptive consensus control algorithm is obtained with estimating nonlinear properties of amphibious robots and velocities of the leader by neural network with unreliable communication links which is always the case in underwater applications. After that, kinematic cooperative controller is presented to guarantee formation stability of multiple water-land amphibious robots system in kinematic control stage. As a result, with the implementation of graph theory and Lyapunov theory, the stability of the formation tracking of multiple water-land amphibious robots system is proved with consideration of jointly connected communication graph. At last, simulations are carried out to prove the effectiveness of the proposed approaches.
引用
收藏
页数:11
相关论文
共 50 条
[41]   Neuro-adaptive cooperative tracking control of unknown higher-order affine nonlinear systems [J].
El-Ferik, Sami ;
Qureshi, Aminuddin ;
Lewis, Frank L. .
AUTOMATICA, 2014, 50 (03) :798-808
[42]   Distributed Robust Attitude Tracking of Multiple Spacecraft with Disturbances and Unmodelled Dynamics [J].
Yang, Dapeng ;
Liu, Xiangdong .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
[43]   A solution for the cooperative formation-tracking problem in a network of completely unknown nonlinear dynamic systems without relative position information [J].
Safaei, Ali ;
Mahyuddin, Muhammad Nasiruddin .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2018, 49 (16) :3459-3475
[44]   Robust Formation Coordination of Robot Swarms With Nonlinear Dynamics and Unknown Disturbances: Design and Experiments [J].
Hu, Junyan ;
Turgut, Ali Emre ;
Lennox, Barry ;
Arvin, Farshad .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (01) :114-118
[45]   Formation Tracking and Obstacle Avoidance for Multiple Quadrotors With Static and Dynamic Obstacles [J].
Qi, Juntong ;
Guo, Jinjin ;
Wang, Mingming ;
Wu, Chong ;
Ma, Zhenwei .
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) :1713-1720
[46]   Distributed adaptive tracking control for high-order multi-agent systems with unknown dynamics [J].
Gu, Jianzhong ;
Li, Wuquan ;
Yang, Hongyong .
INTERNATIONAL JOURNAL OF CONTROL, 2017, 90 (09) :1925-1934
[47]   Time-Optimal Velocity Tracking Control for Consensus Formation of Multiple Nonholonomic Mobile Robots [J].
Fahham, Hamidreza ;
Zaraki, Abolfazl ;
Tucker, Gareth ;
Spong, Mark W. .
SENSORS, 2021, 21 (23)
[48]   Novel Resilient Structure of Output Formation Tracking of Heterogeneous Systems With Unknown Leader Under Contested Environments [J].
Li, Qing ;
Xia, Lina ;
Song, Ruizhuo .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (11) :6819-6829
[49]   FSG-based divinable time-varying formation tracking of multiple Lagrangian agents with unknown disturbances and directed graphs [J].
Ding, Teng-Fei ;
Ge, Ming-Feng ;
Xiong, Caihua ;
Liu, Zhi-Wei ;
Ling, Guang .
ISA TRANSACTIONS, 2023, 132 :278-291
[50]   Quantized feedback control strategy for tracking performance guarantee of nonholonomic mobile robots with uncertain nonlinear dynamics [J].
Yoo, Sung Jin ;
Park, Bong Seok .
APPLIED MATHEMATICS AND COMPUTATION, 2021, 407