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

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.