Particle-based Gaussian process optimization for input design in nonlinear dynamical models. Valenzuela, P. E., Dahlin, J., Rojas, C. R., & Schön, T. B. In CDC, pages 2085-2090, 2016. IEEE.
Particle-based Gaussian process optimization for input design in nonlinear dynamical models. [link]Link  Particle-based Gaussian process optimization for input design in nonlinear dynamical models. [link]Paper  bibtex   
@inproceedings{conf/cdc/ValenzuelaDRS16,
  added-at = {2018-11-02T00:00:00.000+0100},
  author = {Valenzuela, Patricio E. and Dahlin, Johan and Rojas, Cristian R. and Schön, Thomas B.},
  biburl = {https://www.bibsonomy.org/bibtex/29345400b0f2d5c0cce4bcb9ad23ce4b8/dblp},
  booktitle = {CDC},
  crossref = {conf/cdc/2016},
  ee = {https://doi.org/10.1109/CDC.2016.7798571},
  interhash = {9c92a90b9614ddd2ec2f79fa77fd4c99},
  intrahash = {9345400b0f2d5c0cce4bcb9ad23ce4b8},
  isbn = {978-1-5090-1837-6},
  keywords = {dblp},
  pages = {2085-2090},
  publisher = {IEEE},
  timestamp = {2019-10-17T19:06:14.000+0200},
  title = {Particle-based Gaussian process optimization for input design in nonlinear dynamical models.},
  url = {http://dblp.uni-trier.de/db/conf/cdc/cdc2016.html#ValenzuelaDRS16},
  year = 2016
}

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