Adaptive Neural Backstepping Sliding Mode Heading Control for Underactuated Ships with Drift Angle and Ship-Bank Interaction

In order to track the desired path under unknown parameters and environmental disturbances, an adaptive backstepping sliding mode control algorithm with a neural estimator is proposed for underactuated ships considering both ship-bank interaction effect and shift angle. Using the features of radial...

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Detalles Bibliográficos
Autor principal: Han, Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566218/
https://www.ncbi.nlm.nih.gov/pubmed/33082777
http://dx.doi.org/10.1155/2020/8854055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566218/
https://www.ncbi.nlm.nih.gov/pubmed/33082777
http://dx.doi.org/10.1155/2020/8854055

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