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20212024
most citedData-driven predictive control with improved performance using segmented trajectories

29 citations · 39 across the 6 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.SY2022

Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression

M. Zagorowska, M. Degner, L. Ortmann +4

Online Feedback Optimization is a method used to steer the operation of a process plant to its optimal operating point without explicitly solving a nonlinear constrained optimizati…

math.OC2022

Efficient sample selection for safe learning

Marta Zagorowska, Efe C. Balta, Varsha Behrunani +2

Ensuring safety in industrial control systems usually involves imposing constraints at the design stage of the control algorithm. Enforcing constraints is challenging if the underl…

math.OC2022

Safe Optimization of an Industrial Refrigeration Process Using an Adaptive and Explorative Framework

Buse Sibel Korkmaz, Marta Zagórowska, Mehmet Mercangöz

Many industrial applications rely on real-time optimization to improve key performance indicators. In the case of unknown process characteristics, real-time optimization becomes ch…

math.OC2022★ 1 cited

Fast and accurate method for computing non-smooth solutions to constrained control problems

Lucian Nita, Eduardo M. G. Vila, Marta A. Zagorowska +4

Introducing flexibility in the time-discretisation mesh can improve convergence and computational time when solving differential equations numerically, particularly when the soluti…

math.OC2022

Automatic Scenario Generation for Robust Optimal Control Problems

Marta Zagorowska, Paola Falugi, Edward O'Dwyer +1

Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as nonlinear optimization problems. Increasing the number of scen…