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BiBTeX citation export for TUPOMS016: A Pipeline for Orchestrating Machine Learning and Controls Applications

@inproceedings{agapov:ipac2022-tupoms016,
  author       = {I.V. Agapov and M. Böse and L. Malina},
  title        = {{A Pipeline for Orchestrating Machine Learning and Controls Applications}},
  booktitle    = {Proc. IPAC'22},
% booktitle    = {Proc. 13th International Particle Accelerator Conference (IPAC'22)},
  pages        = {1439--1441},
  eid          = {TUPOMS016},
  language     = {english},
  keywords     = {simulation, software, controls, operation, framework},
  venue        = {Bangkok, Thailand},
  series       = {International Particle Accelerator Conference},
  number       = {13},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {07},
  year         = {2022},
  issn         = {2673-5490},
  isbn         = {978-3-95450-227-1},
  doi          = {10.18429/JACoW-IPAC2022-TUPOMS016},
  url          = {https://jacow.org/ipac2022/papers/tupoms016.pdf},
  abstract     = {{Machine learning and artificial intelligence are becoming widespread paradigms in control of complex processes. Operation of accelerator facilities is not an exception, with a number of advances having happened over the last years. In the domain of intelligent control of accelerator facilities, the research has mostly been focused on feasibility demonstration of ML-based agents, or application of ML-based agents to a well-defined problem such as parameter tuning. The main challenge on the way to a more holistic AI-based operation, in our opinion, is of engineering nature and is related to the need of significant reduction of the amount of human intervention. The areas where such intervention is still significant are: training and tuning of ML models; scheduling and orchestrating of multiple intelligent agents; data stream handling; configuration management; and software testing and verification requiring advanced simulation environment. We have developed a software framework which attempts to address all these issues. The design and implementation of this system will be presented, together with application examples for the PETRA III storage ring.}},
}