NMPC in Active Subspaces: Dimensionality Reduction with Recursive Feasibility Guarantees.
Guanru PanTimm FaulwasserPublished in: CoRR (2022)
Keyphrases
- dimensionality reduction
- high dimensional data
- low dimensional
- principal component analysis
- lower dimensional
- linear projection
- high dimensional
- high dimensionality
- data points
- feature space
- pattern recognition
- clustering scheme
- singular value decomposition
- feature extraction
- feature selection
- dimensionality reduction methods
- receding horizon
- manifold learning
- discriminant information
- low dimensional spaces
- parameter space
- sparse representation
- nearest neighbor
- mobile robot
- image sequences