activity
20232025
most citedConstraint-Adaptive MPC for linear systems: A system-theoretic framework for speeding up MPC through online constraint removal

22 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2025

From a Frequency-Domain Willems' Lemma to Data-Driven Predictive Control

T. J. Meijer, K. J. A. Scheres, S. A. N. Nouwens +2

Willems' fundamental lemma has recently received an impressive amount of attention from the data-driven control community. In this paper, we formulate a version of this celebrated…

eess.SY2024★ 6 cited

Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them

S. A. N. Nouwens, B. de Jager, M. M. Paulides +1

Model Predictive Control (MPC) is a successful control methodology, which is applied to increasingly complex systems. However, real-time feasibility of MPC can be challenging for c…

eess.SY2024★ 2 cited

Accelerating soft-constrained MPC for linear systems through online constraint removal

S. A. N. Nouwens, M. M. Paulides, W. P. M. H. Heemels

Optimization-based controllers, such as Model Predictive Control (MPC), have attracted significant research interest due to their intuitive concept, constraint handling capabilitie…

eess.SY2024★ 6 cited

Constraint Removal for MPC with Performance Preservation and a Hyperthermia Cancer Treatment Case Study

S. A. N. Nouwens, B. de Jager, M. M. Paulides +1

Model predictive control (MPC) is an optimization-based control strategy with broad industrial adoption. Unfortunately, the required computation time to solve the receding-horizon…

math.OC2023★ 22 cited

Constraint-Adaptive MPC for linear systems: A system-theoretic framework for speeding up MPC through online constraint removal

S. A. N. Nouwens, M. M. Paulides, W. P. M. H. Heemels

Reducing the computation time of model predictive control (MPC) is important, especially for systems constrained by many state constraints. In this paper, we propose a new online c…