Robust Adaptive Self-Structuring Neural Network Bounded Target Tracking Control of Underactuated Surface Vessels

This paper studies the target-tracking problem of underactuated surface vessels with model uncertainties and external unknown disturbances. A composite robust adaptive self-structuring neural-network-bounded controller is proposed to improve system performance and avoid input saturation. An extended...

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Detalles Bibliográficos
Autores principales: Liu, Haitao, Lin, Jianfei, Yu, Guoyan, Yuan, Jianbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714385/
https://www.ncbi.nlm.nih.gov/pubmed/34970308
http://dx.doi.org/10.1155/2021/2010493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714385/
https://www.ncbi.nlm.nih.gov/pubmed/34970308
http://dx.doi.org/10.1155/2021/2010493

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