Publications & Research
Dr. Rafal Noga — control engineer and applied researcher. PhD in Nonlinear Model Predictive Control (CERN / University of Valladolid). Current focus: data-driven process control, soft sensors, and neural network controllers for industrial automation.
Recent Work
2024
2018
Conference
Super-short Term Wind Speed Prediction based on Artificial Neural Networks for Wind Turbine Control Applications
IECON 2018 – 44th Annual Conference of the IEEE Industrial Electronics Society
PhD Research — NMPC for LHC Cryogenics (CERN)
Research conducted at CERN and the University of Valladolid on Nonlinear Model Predictive Control (NMPC) for the Large Hadron Collider's superfluid helium cryogenic circuit. Supervisors: Prof. César de Prada, Prof. Toshiyuki Ohtsuka, Dr. Enrique Blanco Vinuela, Dr. Juan Casas Cubillos.
2015
PhD Thesis
Non-linear Model Predictive Control for cooling strings of superconducting magnets using superfluid helium
University of Valladolid, November 2015
2015
Conference
NMPC for superfluid helium cryogenics
5th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2015), Seville — IFAC-PapersOnLine 48(23):440–445
2014
Conference
Non-linear moving horizon state estimation and control for the superfluid helium cryogenic circuit at the Large Hadron Collider
53rd IEEE Conference on Decision and Control (CDC), pp. 3530–3535
2011
Conference
NMPC for stiff, distributed parameter system: Semi-Automatic Code Generation and optimality condition evaluation
18th International Conference on Process Control (PC 2011), Tatranská Lomnica, Slovakia
2011
2010
2008
Tech Report
First principles modeling of the Large Hadron Collider's (LHC) Superfluid Helium Cryogenic Circuit
European Organization for Nuclear Research (CERN), February 2008
MSc Thesis
2007
MSc Thesis
Modeling and control of the String2 LHC Prototype at CERN
Joint thesis — University of Valladolid · ENSIEG Grenoble · Universität Karlsruhe · Politechnika Gdańska, September 2007