LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods

Erik Schulz, Pepijn B. Cox, Roland Tóth, Herbert Werner. LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods. In 56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017. pages 3575-3581, IEEE, 2017. [doi]

@inproceedings{SchulzCTW17,
  title = {LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods},
  author = {Erik Schulz and Pepijn B. Cox and Roland Tóth and Herbert Werner},
  year = {2017},
  doi = {10.1109/CDC.2017.8264184},
  url = {https://doi.org/10.1109/CDC.2017.8264184},
  researchr = {https://researchr.org/publication/SchulzCTW17},
  cites = {0},
  citedby = {0},
  pages = {3575-3581},
  booktitle = {56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-2873-3},
}