LPV system identification using a separable least squares support vector machines approach

Paulo J. Lopes dos Santos, T.-P. Azevedo-Perdicoúlis, J. A. Ramos, Sunil Deshpande, Daniel E. Rivera, Jorge Leite Martins de Carvalho. LPV system identification using a separable least squares support vector machines approach. In 53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014. pages 2548-2554, IEEE, 2014. [doi]

@inproceedings{SantosARDRC14,
  title = {LPV system identification using a separable least squares support vector machines approach},
  author = {Paulo J. Lopes dos Santos and T.-P. Azevedo-Perdicoúlis and J. A. Ramos and Sunil Deshpande and Daniel E. Rivera and Jorge Leite Martins de Carvalho},
  year = {2014},
  doi = {10.1109/CDC.2014.7039778},
  url = {http://dx.doi.org/10.1109/CDC.2014.7039778},
  researchr = {https://researchr.org/publication/SantosARDRC14},
  cites = {0},
  citedby = {0},
  pages = {2548-2554},
  booktitle = {53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014},
  publisher = {IEEE},
  isbn = {978-1-4799-7746-8},
}