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BiBTeX citation export for TUPDP033: Applying Model Predictive Control to Regulate Thermal Stability of a Hard X-ray Monochromator Using the Karabo SCADA Framework

@inproceedings{smith:icalepcs2023-tupdp033,
  author       = {M.A. Smith and G. Giovanetti and S. Hauf and I. Karpics and A. Parenti and A. Samadli and L. Samoylova and A. Silenzi and F. Sohn and P. Zalden},
% author       = {M.A. Smith and G. Giovanetti and S. Hauf and I. Karpics and A. Parenti and A. Samadli and others},
% author       = {M.A. Smith and others},
  title        = {{Applying Model Predictive Control to Regulate Thermal Stability of a Hard X-ray Monochromator Using the Karabo SCADA Framework}},
% booktitle    = {Proc. ICALEPCS'23},
  booktitle    = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
  eventdate    = {2023-10-09/2023-10-13},
  pages        = {579--582},
  paper        = {TUPDP033},
  language     = {english},
  keywords     = {controls, software, FEL, SCADA, framework},
  venue        = {Cape Town, South Africa},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {19},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {02},
  year         = {2024},
  issn         = {2226-0358},
  isbn         = {978-3-95450-238-7},
  doi          = {10.18429/JACoW-ICALEPCS2023-TUPDP033},
  url          = {https://jacow.org/icalepcs2023/papers/tupdp033.pdf},
  abstract     = {{Model Predictive Control (MPC) is an advanced method of process control whereby a model is developed for a real-life system and an optimal control solution is then calculated and applied to control the system. At each time step, the MPC controller uses the system model and system state to minimize a cost function for optimal control. The Karabo SCADA Framework is a distributed control system developed specifically for European XFEL facility, consisting of tens of thousands of hardware and software devices and over two million attributes to track system state. This contribution describes the application of the Python MPC Toolbox within the Karabo SCADA Framework to solve a monochromator temperature control problem. Additionally, the experiences gained in this solution have led to a generic method to apply MPC to any group of Karabo SCADA devices. }},
}