Stochastic subspace identification of linear systems with observation outliers.
Hideyuki TanakaJaafar AlMutawaTohru KatayamaPublished in: CDC/ECC (2005)
Keyphrases
- linear systems
- sufficient conditions
- linear equations
- dynamical systems
- sparse linear systems
- coefficient matrix
- low dimensional
- low rank representation
- missing data
- subspace clustering
- data points
- high dimensional
- feature extraction
- high dimensional data
- dimensionality reduction
- principal component analysis
- interior point methods
- reinforcement learning