activity
20222026
most citedSafe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm

4 citations · 7 across the 8 of their papers we have counts for

collaborators
Showing eess.SYShow all

6 papers · 1 filter

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…

eess.SY2023

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors

Marta Zagorowska, Lukas Ortmann, Alisa Rupenyan +2

Online Feedback Optimization (OFO) controllers steer a system to its optimal operating point by treating optimization algorithms as auxiliary dynamic systems. Implementation of OFO…

eess.SY2023★ 1 cited

Efficient safe learning for controller tuning with experimental validation

Marta Zagorowska, Christopher König, Hanlin Yu +3

Optimization-based controller tuning is challenging because it requires formulating optimization problems explicitly as functions of controller parameters. Safe learning algorithms…