Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking.
Ping ZhouHeda SongHong WangTianyou ChaiPublished in: IEEE Trans. Control. Syst. Technol. (2017)
Keyphrases
- data driven
- model driven
- tracking control
- prediction accuracy
- prediction error
- control system
- high quality
- quality prediction
- model predictive control
- principal component analysis
- data quality
- quality assessment
- kernel based nonlinear
- control method
- nonlinear systems
- kernel pca
- prediction algorithm
- models built
- adaptive neural
- neural network controller
- steel industry
- data sets
- gaussian process models
- wheel slip
- modeling method
- prediction model
- control strategy
- fuzzy model
- high dimensional
- learning algorithm
- neural network