A nonparametric kernel-based approach to Hammerstein system identification.
Riccardo Sven RisuleoGiulio BottegalHåkan HjalmarssonPublished in: Autom. (2017)
Keyphrases
- kernel density estimation
- kernel density
- parzen window
- data driven
- density estimates
- kernel density estimator
- density estimation
- kernel function
- kernel methods
- input output
- nonparametric density estimation
- support vector
- bayesian modeling
- kernel regression
- kernel machines
- feature space
- hierarchical bayesian
- recurrent neural networks
- nonparametric regression
- component analysis
- mutual information