Spatial Trajectory Tracking of Underactuated Autonomous Underwater Vehicles by Model–Data-Driven Learning Adaptive Robust Control

Spatial Trajectory Tracking of Underactuated Autonomous Underwater Vehicles by Model–Data-Driven Learning Adaptive Robust Control

This paper aims to solve the spatial trajectory tracking control problem of underactuated autonomous underwater vehicles (AUVs) in the presence of system parameter uncertainties and complex external disturbances. To accomplish this goal, a model–data-driven learning adaptive robust control (LARC) st...

Full description

Saved in:
Bibliographic Details
Main Authors: Linyuan Guo, Ran Zhou, Qingchang Guo, Liran Ma, Chuxiong Hu, Jianbin Luo
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Journal of Marine Science and Engineering
Subjects:
underactuated AUVs
spatial trajectory tracking
motion control
adaptive control
data-driven control
Online Access:https://www.mdpi.com/2077-1312/13/6/1151
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items