A Virtual Laboratory on Recursive Least-Squares Estimation for Undergraduate Courses

https://doi.org/10.58571/CNCA.AMCA.2024.072

Resumen: This paper describes the creation of an educational resource focused on identifying dynamic systems, with a particular emphasis on parametric estimation, for undergraduate courses. This virtual laboratory is easily reproducible with accessible materials and software, allowing easy system modification. The Recursive Least-Squares (RLS) with a forgetting factoris a solid and efficient method that enables students to experiment with parameters and better understand the subject matter. We show three experiments to provide an exhaustive RLScomprehension. Finally, we envision the virtual laboratory as useful for educational purposes and other applications in automatic control.

¿Cómo citar?

Maldonado Uriostigue, D.Y. & Ramírez Chavarría, R.G. (2024). A Virtual Laboratory on Recursive Least-Squares Estimation for Undergraduate Courses. Memorias del Congreso Nacional de Control Automático 2024, pp. 422-427. https://doi.org/10.58571/CNCA.AMCA.2024.072

Palabras clave

Parametric Estimation, RLS algorithm, Forgetting factor, Real time, Educational tool

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