A Comparison of Discretization Methods for Parameter Estimation of Nonlinear Mechanical Systems Using Extended Kalman Filter: Symplectic versus Classical Approaches

Daniel Beckmann, Matthias Dagen, Tobias Ortmaier. A Comparison of Discretization Methods for Parameter Estimation of Nonlinear Mechanical Systems Using Extended Kalman Filter: Symplectic versus Classical Approaches. In Kurosh Madani, Dimitri Peaucelle, Oleg Gusikhin, editors, Informatics in Control, Automation and Robotics - 13th International Conference, ICINCO 2016 Lisbon, Portugal, 29-31 July, 2016, Revised Selected Papers. Volume 430 of Lecture Notes in Electrical Engineering, pages 367-384, Springer, 2016. [doi]

@inproceedings{BeckmannDO16a,
  title = {A Comparison of Discretization Methods for Parameter Estimation of Nonlinear Mechanical Systems Using Extended Kalman Filter: Symplectic versus Classical Approaches},
  author = {Daniel Beckmann and Matthias Dagen and Tobias Ortmaier},
  year = {2016},
  doi = {10.1007/978-3-319-55011-4_18},
  url = {https://doi.org/10.1007/978-3-319-55011-4_18},
  researchr = {https://researchr.org/publication/BeckmannDO16a},
  cites = {0},
  citedby = {0},
  pages = {367-384},
  booktitle = {Informatics in Control, Automation and Robotics - 13th International Conference, ICINCO 2016 Lisbon, Portugal, 29-31 July, 2016, Revised Selected Papers},
  editor = {Kurosh Madani and Dimitri Peaucelle and Oleg Gusikhin},
  volume = {430},
  series = {Lecture Notes in Electrical Engineering},
  publisher = {Springer},
  isbn = {978-3-319-55011-4},
}