The role of the state in model reduction with subspace and POD-based data-driven methods.
Andrea IannelliRoy S. SmithPublished in: ACC (2021)
Keyphrases
- data driven
- experimental data
- probability distribution
- high level
- statistical models
- input data
- parameter estimation
- computational model
- reduction method
- learning models
- qualitative and quantitative
- linear regression
- management system
- objective function
- machine learning
- high dimensional data
- machine learning methods
- statistical methods
- state space
- monte carlo simulation
- hybrid method
- data mining