Advanced Control Laboratory I
The main objective of this laboratory is to enable the implementation of advanced strategies for robust adaptive control, predictive control, state estimation and fault detection in nolinear and non-Gaussian systems.
The methods studied include the use of neural networks, fuzzy logic, passivity, flatness, backstepping, fractional control and Bayesian estimation algorithms. The laboratory is mainly oriented towards research purposes, although it is also used for graduate teaching.
Profesor Titular, Departamento de Ingeniería Eléctrica
Profesor Asociado Departamento de Ingeniería Eléctrica