A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data

Chao Huang. A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data. Automatica, 140:110261, 2022. [doi]

@article{Huang22-11,
  title = {A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data},
  author = {Chao Huang},
  year = {2022},
  doi = {10.1016/j.automatica.2022.110261},
  url = {https://doi.org/10.1016/j.automatica.2022.110261},
  researchr = {https://researchr.org/publication/Huang22-11},
  cites = {0},
  citedby = {0},
  journal = {Automatica},
  volume = {140},
  pages = {110261},
}