NMPC in active subspaces: Dimensionality reduction with recursive feasibility guarantees.
Guanru PanTimm FaulwasserPublished in: Autom. (2023)
Keyphrases
- dimensionality reduction
- high dimensional data
- low dimensional
- lower dimensional
- principal component analysis
- high dimensional
- linear projection
- data points
- feature extraction
- pattern recognition
- receding horizon
- feature space
- linear discriminant analysis
- clustering scheme
- low dimensional spaces
- high dimensionality
- sparse representation
- manifold learning
- nearest neighbor
- video sequences
- control system
- subspace learning
- computational complexity