Event-Triggered Finite-Time Tracking Control of Unmanned Surface Vessel Using Neural Network Prescribed Performance

Event-Triggered Finite-Time Tracking Control of Unmanned Surface Vessel Using Neural Network Prescribed Performance

The current paper verifies the event-triggered finite-time tracking control of a fully actuated unmanned surface vessel under unmodeled dynamics and external disturbances. Radial basis function neural networks (RBFNNs), nonlinear disturbance observers (NDO), and the event-triggered mechanism (ETM) a...

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Bibliographic Details
Main Authors: Yuan Liu, Li Zhao, Wenfang Sun, Qing Wang, Guoxing Li, Haiyang Guo, Xinxiang Zhang, Jiaming Zhang, Zhiqing Bai
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Unmanned surface vessel
tracking control
event-triggered control
prescribed performance
finite-time control
Online Access:https://ieeexplore.ieee.org/document/10374356/

Internet

https://ieeexplore.ieee.org/document/10374356/

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