Computational Performance of State-Value Function Approximators Based on RLS-HDP Estimators for Online DLQR Control System Design

Ernesto Franklin Marcal Ferreira, João Viana da Fonseca Neto, Patrícia Helena Moraes Rêgo. Computational Performance of State-Value Function Approximators Based on RLS-HDP Estimators for Online DLQR Control System Design. In David Al-Dabass, Alessandra Orsoni, Richard J. Cant, Glenn L. Jenkins, editors, UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, UKSim 2016, Cambridge, United Kingdom, April 6-8, 2016. pages 27-34, IEEE, 2016. [doi]

@inproceedings{FerreiraNR16,
  title = {Computational Performance of State-Value Function Approximators Based on RLS-HDP Estimators for Online DLQR Control System Design},
  author = {Ernesto Franklin Marcal Ferreira and João Viana da Fonseca Neto and Patrícia Helena Moraes Rêgo},
  year = {2016},
  doi = {10.1109/UKSim.2016.63},
  url = {http://dx.doi.org/10.1109/UKSim.2016.63},
  researchr = {https://researchr.org/publication/FerreiraNR16},
  cites = {0},
  citedby = {0},
  pages = {27-34},
  booktitle = {UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, UKSim 2016, Cambridge, United Kingdom, April 6-8, 2016},
  editor = {David Al-Dabass and Alessandra Orsoni and Richard J. Cant and Glenn L. Jenkins},
  publisher = {IEEE},
  isbn = {978-1-5090-0888-9},
}