Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Ping Zhou, Heda Song, Hong Wang, Tianyou Chai. Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking. IEEE Trans. Contr. Sys. Techn., 25(5):1761-1774, 2017. [doi]

@article{ZhouSWC17-0,
  title = {Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking},
  author = {Ping Zhou and Heda Song and Hong Wang and Tianyou Chai},
  year = {2017},
  doi = {10.1109/TCST.2016.2631124},
  url = {https://doi.org/10.1109/TCST.2016.2631124},
  researchr = {https://researchr.org/publication/ZhouSWC17-0},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Contr. Sys. Techn.},
  volume = {25},
  number = {5},
  pages = {1761-1774},
}