Event-Triggered Adaptive Neural Network Trajectory Tracking Control For Underactuated Ships Under Uncertain Disturbance

Event-Triggered Adaptive Neural Network Trajectory Tracking Control For Underactuated Ships Under Uncertain Disturbance

An adaptive neural network (NN) event-triggered trajectory tracking control scheme based on finite time convergence is proposed to address the problem of trajectory tracking control of underdriven surface ships. In this scheme, both NNs and minimum learning parameters (MLPS) are applied. The interna...

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Bibliographic Details
Main Authors: Su Wenxue, Zhang Qiang, Liu Yufeng
Format: Article
Language:English
Published: Sciendo 2023-09-01
Series:Polish Maritime Research
Subjects:
event-triggered control
underactuated marine surface vessels
adaptive neural network
trajectory tracking
finite-time
Online Access:https://doi.org/10.2478/pomr-2023-0045

Internet

https://doi.org/10.2478/pomr-2023-0045

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