Event-Triggered Composite Learning Finite-Time Trajectory Tracking Control for Underactuated MSVs Subject to Uncertainties

Event-Triggered Composite Learning Finite-Time Trajectory Tracking Control for Underactuated MSVs Subject to Uncertainties

In this paper, a novel event-triggered composite learning finite-time control scheme is presented for underactuated marine surface vehicles (MSVs) trajectory tracking under unknown dynamics and unknown time-varying disturbances. Line-of-sight (LOS) tracking control method is employed to address the...

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Bibliographic Details
Main Authors: Baofeng Pan, Chao Chen, Guibing Zhu, Yuxiang Su
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Line-of-sight
trajectory tracking
finite-time control
event-triggered
composite learning
Online Access:https://ieeexplore.ieee.org/document/9691358/

Internet

https://ieeexplore.ieee.org/document/9691358/

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