Structure and Parameter Identification of Process Models with Hard Non-linearities for Industrial Drive Trains by Means of Degenerate Genetic Programming

Mathias Tantau, Lars Perner, Mark Wielitzka, Tobias Ortmaier. Structure and Parameter Identification of Process Models with Hard Non-linearities for Industrial Drive Trains by Means of Degenerate Genetic Programming. In Oleg Gusikhin, Kurosh Madani, Janan Zaytoon, editors, Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019 - Volume 1, Prague, Czech Republic, July 29-31, 2019. pages 368-376, SciTePress, 2019. [doi]

@inproceedings{TantauPWO19,
  title = {Structure and Parameter Identification of Process Models with Hard Non-linearities for Industrial Drive Trains by Means of Degenerate Genetic Programming},
  author = {Mathias Tantau and Lars Perner and Mark Wielitzka and Tobias Ortmaier},
  year = {2019},
  doi = {10.5220/0007949003680376},
  url = {https://doi.org/10.5220/0007949003680376},
  researchr = {https://researchr.org/publication/TantauPWO19},
  cites = {0},
  citedby = {0},
  pages = {368-376},
  booktitle = {Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019 - Volume 1, Prague, Czech Republic, July 29-31, 2019},
  editor = {Oleg Gusikhin and Kurosh Madani and Janan Zaytoon},
  publisher = {SciTePress},
  isbn = {978-989-758-380-3},
}