Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees.
Roland SchurigAndreas HimmelRolf FindeisenPublished in: CoRR (2023)
Keyphrases
- data driven
- dimensionality reduction
- pattern recognition
- high dimensional
- data representation
- principal component analysis
- low dimensional
- high dimensionality
- structure preserving
- high dimensional data
- feature selection
- random projections
- linear dimensionality reduction
- manifold learning
- euclidean distance
- feature extraction
- linear discriminant analysis
- closed loop
- principal components
- input space
- geometric structure
- neural network
- geometric features
- nonlinear dimensionality reduction
- intrinsic dimensionality
- high order
- lower dimensional
- machine learning