Adaptive self-structuring neural network tracking control for underactuated USVs with actuator faults and input saturation-Reference-Cited by-同舟云学术

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Adaptive self-structuring neural network tracking control for underactuated USVs with actuator faults and input saturation

Published:2024-10 Issue: Volume:309 Page:118535
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Liu Haitao^ORCID,Zhou Xuecheng,Tian Xuehong^ORCID,Mai Qingqun,Li Ronghui^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. Nonlinear Model Predictive Control for trajectory tracking and collision avoidance of underactuated vessels with disturbances;Abdelaal;Ocean Eng.,2018

2. Leader-follower close formation control for underactuated surface vessel via terminal hierarchical sliding mode;Chen;Int. J. Adv. Rob. Syst.,2020

3. Reinforcement learning-based close formation control for underactuated surface vehicle with prescribed performance and time-varying state constraints;Chen;Ocean Eng.,2022

4. Approximate Optimal Adaptive Prescribed Performance Control for Uncertain Nonlinear Systems With Feature Information;Chen;IEEE Trans. Syst. Man Cybern. Syst.,2024

5. Adaptive event-triggered fuzzy tracking control for underactuated surface vehicles under external disturbances;Chen;Ocean Eng.,2023

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