29 citations · 39 across the 6 of their papers we have counts for
5 papers · 1 filter
Automatic scenario generation for efficient solution of 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 large nonlinear optimization problems. The optimization proble…
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…
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…
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…
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…