A New Diagonally Implicit Implementation of the Continuous-Discrete Extended Kalman Filters for State and Parameter Estimation of Nonlinear Dynamic Systems.
Jean-Marie GuihalFrançois AugerNicolas BernardEmmanuel SchaefferPublished in: IECON (2021)
Keyphrases
- parameter estimation
- maximum likelihood
- least squares
- markov random field
- model selection
- em algorithm
- parameter estimation algorithm
- random fields
- nonlinear dynamic systems
- expectation maximization
- extended kalman filters
- nonlinear systems
- parameter values
- structure learning
- cross validation
- computer vision
- neural network