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Research Article | Open Access |

Parameter Estimation of the ALBA Autonomous Surface Craft

Author 1: Melanie M. Valdivia-Fernandez Author 2: Brayan A. Monroy-Ochoa Author 3: Daniel D. Yanyachi Author 4: Juan C. Cutipa-Luque
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 9 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110982

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Abstract

Arequipa region holds the largest extension of the Peruvian littoral at the Pacific sea, has also fresh water resources composed of rivers and lagoons from the coast to the Andes highland. The ALBA vehicle is a low-cost autonomous surface vessel with open source architecture that is being developed to support water monitoring tasks in the region. This article deals with the nonlinear identification problem for an autonomous surface craft and the maximum likelihood estimation approach is used to estimate its parameters. The parametric nonlinear model is considered with simulated and experimental data. The results shows good fitting values when two, three and a maximum four parameters are estimated.

Keywords

Autonomous surface craft parameter estimation modeling maximum likelihood nonlinear zigzag

How to Cite this Article

Valdivia-Fernandez, M. M., Monroy-Ochoa, B. A., Yanyachi, D. D., & Cutipa-Luque, J. C. (2020). Parameter Estimation of the ALBA Autonomous Surface Craft. International Journal of Advanced Computer Science and Applications, 11(9). https://doi.org/10.14569/IJACSA.2020.0110982

Valdivia-Fernandez, Melanie M., et al.. "Parameter Estimation of the ALBA Autonomous Surface Craft." International Journal of Advanced Computer Science and Applications, vol. 11, no. 9, 2020, https://doi.org/10.14569/IJACSA.2020.0110982.

@article{Valdivia-Fernandez2020,
  title     = {Parameter Estimation of the ALBA Autonomous Surface Craft},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {9},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Melanie M. Valdivia-Fernandez and Brayan A. Monroy-Ochoa and Daniel D. Yanyachi and Juan C. Cutipa-Luque},
  doi       = {10.14569/IJACSA.2020.0110982},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110982}
}

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