USV formation control
@ARTICLE{6144020,
author={Peng, Zhouhua and Wang, Dan and Chen, Zhiyong and Hu, Xiaojing and Lan, Weiyao},
journal={IEEE Transactions on Control Systems Technology},
title={Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics},
year={2013},
volume={21},
number={2},
pages={513-520},
keywords={Vehicles;Vehicle dynamics;Artificial neural networks;Lead;Vectors;Kinetic theory;Dynamics;Autonomous surface vehicles (ASVs);dynamic surface control;formation control;neural networks (NNs);uncertain dynamics},
doi={10.1109/TCST.2011.2181513}}
@ARTICLE{9508772,
author={Liu, Lu and Wang, Dan and Peng, Zhouhua and Han, Qing-Long},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Distributed Path Following of Multiple Under-Actuated Autonomous Surface Vehicles Based on Data-Driven Neural Predictors via Integral Concurrent Learning},
year={2021},
volume={32},
number={12},
pages={5334-5344},
keywords={Kinetic theory;Kinematics;Path planning;Task analysis;Observers;Autonomous vehicles;Trajectory tracking;Autonomous surface vehicles (ASVs);data-driven neural predictors;distributed path following;integral concurrent learning},
doi={10.1109/TNNLS.2021.3100147}}
@ARTICLE{9397436,
author={Gu, Nan and Wang, Dan and Peng, Zhouhua and Li, Tieshan and Tong, Shaocheng},
journal={IEEE Transactions on Cybernetics},
title={Model-Free Containment Control of Underactuated Surface Vessels Under Switching Topologies Based on Guiding Vector Fields and Data-Driven Neural Predictors},
year={2022},
volume={52},
number={10},
pages={10843-10854},
keywords={Topology;Switches;Control systems;Artificial neural networks;Kinetic theory;Adaptation models;Uncertainty;Containment control;data-driven neural predictors;guiding vector fields (GVFs);switching topologies;unmanned surface vessels (USVs)},
doi={10.1109/TCYB.2021.3061588}}
本次复现主要着重制导律和控制律，代码并非和原论文中设计的算法完全重合，但大致思想参考了上述论文