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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

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Showing 2020Show all

5 papers · 1 filter

eess.SY2020★ 3 cited

Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm

Pablo Krupa, Ignacio Alvarado, Daniel Limon +1

This article presents a sparse, low-memory footprint optimization algorithm for the implementation of the model predictive control (MPC) for tracking formulation in embedded system…

eess.SY2020

Nonlinear MPC for Tracking for a Class of Non-Convex Admissible Output Sets

Andres Cotorruelo, Daniel R. Ramirez, Daniel Limon +1

This paper presents an extension to the nonlinear Model Predictive Control for Tracking scheme able to guarantee convergence even in cases of non-convex output admissible sets. Thi…

eess.SY2020

Reference Dependent Invariant Sets: Sum of Squares Based Computation and Applications in Constrained Control

Andres Cotorruelo, Mehdi Hosseinzadeh, Daniel R. Ramirez +2

The goal of this paper is to present a systematic method to compute reference dependent positively invariant sets for systems subject to constraints. To this end, we first characte…

eess.SY2020

Elimination of Redundant Polynomial Constraints and Its Use in Constrained Control

Andres Cotorruelo, Ilya Kolmanovsky, Daniel R. Ramírez +2

The reduction of constraints to obtain minimal representations of sets is a very common problem in many engineering applications. While well-established methodologies exist for the…

eess.SY2020★ 16 cited

Harmonic based model predictive control for set-point tracking

Pablo Krupa, Daniel Limon, Teodoro Alamo

This paper presents a novel model predictive control (MPC) formulation for set-point tracking. Stabilizing predictive controllers based on terminal ingredients may exhibit stabilit…