Nonlinear subspace system identification based on output-only measurements.
Amirali SadeqiShapour MoradiKourosh Heidari ShiraziPublished in: J. Frankl. Inst. (2020)
Keyphrases
- kernel based nonlinear
- nonlinear dynamics
- input data
- input output
- dimensionality reduction
- low dimensional
- principal component analysis
- principal components analysis
- kernel pca
- subspace clustering
- artificial neural networks
- high dimensional
- multiscale
- linear subspace
- eigendecomposition
- data sets
- taylor series expansion
- subspace learning
- feature space
- image sequences
- feature selection
- neural network