Pages that link to "Item:Q1592896"
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The following pages link to Consistency analysis of subspace identification methods based on a linear regression approach (Q1592896):
Displaying 16 items.
- Robust data driven \(H_\infty\) control for wind turbine (Q308276) (← links)
- Subspace identification of bilinear and LPV systems for open- and closed-loop data (Q1012734) (← links)
- On consistency of subspace methods for system identification (Q1294985) (← links)
- Asymptotic properties of subspace estimators (Q1776432) (← links)
- Consistency and relative efficiency of subspace methods (Q1911279) (← links)
- Analysis of the asymptotic properties of the MOESP type of subspace algorithms (Q1975543) (← links)
- Predictor-Based Tensor Regression (PBTR) for LPV subspace identification (Q2409353) (← links)
- A novel subspace identification approach with enforced causal models (Q2576151) (← links)
- On Multiple-Case Diagnostics in Linear Subspace Method (Q3298504) (← links)
- Closed‐loop identification of the time‐varying dynamics of variable‐speed wind turbines (Q3626938) (← links)
- Improved closed-loop subspace identification with prior information (Q5027793) (← links)
- Tensor networks for MIMO LPV system identification (Q5221376) (← links)
- Identification of positive real models in subspace identification by using regularization (Q5266726) (← links)
- On the Relation Between CCA and Predictor-Based Subspace Identification (Q5282254) (← links)
- Identification of individualised empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics (Q5499760) (← links)
- Subspace identification for non-linear systems with measured-input non-linearities (Q5704586) (← links)
