A new comparison of Kalman filtering methods for chaotic series

@article{Lima2014ANC,
  title={A new comparison of Kalman filtering methods for chaotic series},
  author={Denis P. Lima and Edilson R. R. Kato and Roberto H. Tsunaki},
  journal={2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  year={2014},
  pages={3531-3536}
}
Kalman filters are rooted in the technical literature, as a way of predicting new states in nonlinear systems providing a recursive solution to the problem of linear optimal filtering. Therefore, 54 years after its discovery, many modifications have been proposed in order to obtain better accuracy and speed. Some of these changes are used in this work; these being the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF) and Kalman Filter Cubature, intense research demonstrate the… CONTINUE READING

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