Correction: Chen et al. Design of a Sliding Mode Controller for Lateral Motion Control of a Supercavitating Vehicle Based on a Radial Basis Function Neural Network Observer. J. Mar. Sci. Eng. 2025, 13, 418

Authors

Xinhua Zhao (ORCID: https://orcid.org/0000-0003-2599-6492)
Shangze Chen (ORCID: https://orcid.org/0000-0002-0179-8128)
Xiufen Ye (ORCID: https://orcid.org/0000-0001-9812-2679)

Institutions

Harbin Engineering University (CN)

Publication Details

Journal: Journal of Marine Science and Engineering
Published: 2025-03-19
DOI: https://doi.org/10.3390/jmse13030603
Primary Topic: Cavitation Phenomena in Pumps
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Natural Science Foundation of China
Natural Science Foundation of Heilongjiang Province

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article

Correction: Chen et al. Design of a Sliding Mode Controller for Lateral Motion Control of a Supercavitating Vehicle Based on a Radial Basis Function Neural Network Observer. J. Mar. Sci. Eng. 2025, 13, 418

Xinhua Zhao, Shangze Chen, Xiufen Ye

Mar 19, 2025

Journal of Marine Science and Engineering

Cavitation Phenomena in Pumps

article

Correction: Chen et al. Design of a Sliding Mode Controller for Lateral Motion Control of a Supercavitating Vehicle Based on a Radial Basis Function Neural Network Observer. J. Mar. Sci. Eng. 2025, 13, 418

Xinhua Zhao, Shangze Chen, Xiufen Ye

March 19, 2025article en

Abstract

No abstract available for this paper.

Journal of Marine Science and EngineeringVol. 13(3)

Harbin Engineering University (CN)

National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province

Openalex Percentile: Top 94%

Cavitation Phenomena in Pumps

DOI Open Access PDF OpenAlex

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Correction: Chen et al. Design of a Sliding Mode Controller for Lateral Motion Control of a Supercavitating Vehicle Based on a Radial Basis Function Neural Network Observer. J. Mar. Sci. Eng. 2025, 13, 418 — Xinhua Zhao, Shangze Chen, et al. · Journal of Marine Science and Engineering (2025) | TGRS Research Map | TGRS