activity
20242026
collaborators

6 papers

eess.SY2026

Data-driven predictive control of nonlinear systems using weighted regularization

Fritz A. Engeln, Sebastian Zieglmeier, Marta Zagórowska +1

Data-driven control methods, like Data-enabled Predictive Control (DeePC), are often formulated for linear systems, where the principle of superposition allows global system behavi…

eess.SY2026

Adaptive Tuning of Online Feedback Optimization for Process Control Applications

Marta Zagorowska, Lukas Ortmann, Giuseppe Belgioioso +1

Online Feedback Optimization leverages properties of optimization algorithms to develop controllers for systems with limited model availability, which is often the case in process…

eess.SY2025

Capacity Estimation of Lithium-ion Batteries Using Invariance Property in Open Circuit Voltage Relationship

Yang Wang, Marta Zagorowska, Riccardo M. G. Ferrari

Lithium-ion (Li-ion) batteries are ubiquitous in electric vehicles (EVs) as efficient energy storage devices. The reliable operation of Li-ion batteries depends critically on the a…

eess.SY2025

Persistently Exciting Online Feedback Optimization Controller with Minimal Perturbations

Tore Gude, Marta Anna Zagorowska, Lars Struen Imsland

This paper develops a persistently exciting input generating Online Feedback Optimization (OFO) controller that estimates the sensitivity of a process ensuring minimal deviations f…

math.OC2025

Sensitivity of Online Feedback Optimization to time-varying parameters

Marta Zagorowska, Lars Imsland

Online Feedback Optimization uses optimization algorithms as dynamic systems to design optimal control inputs. The results obtained from Online Feedback Optimization depend on the…

cs.LG2024

Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel

Jialin Li, Marta Zagorowska, Giulia De Pasquale +2

Ensuring safety is a key aspect in sequential decision making problems, such as robotics or process control. The complexity of the underlying systems often makes finding the optima…