3 papers
eess.SY2025
An adaptive extension to robust data-driven predictive control under parametric uncertainty
Ignacio Sanchez, Filiberto Fele, Daniel Limon
Robust data-driven controllers typically rely on datasets from previous experiments, which embed information on the variability of the system parameters across past operational con…
eess.SY2025
Robust contraction-based model predictive control for nonlinear systems
Marco Polver, Daniel Limon, Fabio Previdi +1
Model Predictive Control (MPC) is a widely known control method that has proved to be particularly effective in multivariable and constrained control. Closed-loop stability and rec…
eess.SY2025
Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach
Jose A. Borja-Conde, Juan M. Nadales, Filiberto Fele +1
Periodic dynamical systems, distinguished by their repetitive behavior over time, are prevalent across various engineering disciplines. In numerous applications, particularly withi…