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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2020
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| 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 |