Data-Driven Adaptive Tracking Control of Unknown Autonomous Marine Vehicles | Zendy

Yongpeng Weng | Zendy; Ning Wang | Zendy; Hongde Qin | Zendy; Hamid Reza Karimi | Zendy; Wenhai Qi | Zendy

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Data-Driven Adaptive Tracking Control of Unknown Autonomous Marine Vehicles

Author(s) -

Yongpeng Weng,

Ning Wang,

Hongde Qin,

Hamid Reza Karimi,

Wenhai Qi

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2872779

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper is concerned with data-driven adaptive tracking control for unknown autonomous marine vehicles (AMVs) with uncertainties and disturbances. By deploying the data-driven technique and observer design, an equivalent data model of the AMV is firstly established. Based on the proposed data model, a novel data-driven adaptive tracking controller is designed, and the corresponding stability analysis for the closed-loop AMV system is presented theoretically. Finally, simulation studies are given to demonstrate the validity of the main results.

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