Event trigger based adaptive neural trajectory tracking finite time control for underactuated unmanned marine surface vessels with asymmetric input saturation

An adaptive finite time trajectory tracking control method is presented for underactuated unmanned marine surface vessels (MSVs) by employing neural networks to approximate system uncertainties. The proposed algorithm is developed by combining event-triggered control (ETC) and finite-time convergenc...

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Detalles Bibliográficos
Autores principales: Hu, Yancai, Zhang, Qiang, Liu, Yang, Meng, Xiangfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287687/
https://www.ncbi.nlm.nih.gov/pubmed/37349350
http://dx.doi.org/10.1038/s41598-023-37331-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287687/
https://www.ncbi.nlm.nih.gov/pubmed/37349350
http://dx.doi.org/10.1038/s41598-023-37331-6

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