activity
20192026
most citedOnline learning-based Model Predictive Control with Gaussian Process Models and Stability Guarantees

112 citations · 217 across the 21 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

math.OC2021★ 12 cited

A sparse ADMM-based solver for linear MPC subject to terminal quadratic constraint

Pablo Krupa, Rim Jaouani, Daniel Limon +1

Model Predictive Control (MPC) typically includes a terminal constraint to guarantee stability of the closed-loop system under nominal conditions. In linear MPC this constraint is…

eess.SY2021

Suboptimal multirate MPC for five-level inverters

Joaquin G. Ordonez, Francisco Gordillo, Pablo Montero-Robina +1

The application of multilevel converters to renewable energy systems is a growing topic due to their advantages in energy efficiency. Regarding its control, model predictive contro…

eess.SY2021★ 3 cited

Tractable robust MPC design based on nominal predictions

Ignacio Alvarado, Pablo Krupa, Daniel Limon +1

Many popular approaches in the field of robust model predictive control (MPC) are based on nominal predictions. This paper presents a novel formulation of this class of controller…

eess.SY2021

Real-time implementation of MPC for tracking in embedded systems: Application to a two-wheeled inverted pendulum

Pablo Krupa, Jose Camara, Ignacio Alvarado +2

This article presents the real-time implementation of the model predictive control for tracking formulation to control a two-wheeled inverted pendulum robot. This formulation offer…

math.OC2021★ 5 cited

Restart of accelerated first order methods with linear convergence under a quadratic functional growth condition

Teodoro Alamo, Pablo Krupa, Daniel Limon

Accelerated first order methods, also called fast gradient methods, are popular optimization methods in the field of convex optimization. However, they are prone to suffer from osc…