Pages that link to "Item:Q2208595"
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The following pages link to Identification of affinely parameterized state-space models with unknown inputs (Q2208595):
Displaying 11 items.
- \(H_\infty\)-norm-based optimization for the identification of gray-box LTI state-space model parameters (Q286511) (← links)
- Identification of structured state-space models (Q1640712) (← links)
- Inverse linear quadratic dynamic games using partial state observations (Q2081827) (← links)
- The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares (Q2124495) (← links)
- Generalized maximum entropy based identification of graphical ARMA models (Q2139439) (← links)
- System identification approach for inverse optimal control of finite-horizon linear quadratic regulators (Q2665139) (← links)
- Identification of state-dependent parameter models with support vector regression (Q3542905) (← links)
- A method for the identification of state space models from input and output measurements (Q4877451) (← links)
- On the Input-Output Representation of Piecewise Affine State Space Models (Q4978657) (← links)
- MIMO system identification using common denominator and numerators with known degrees (Q6495683) (← links)
- Identification of Hammerstein-Wiener systems with state-space subsystems based on the improved PSO and GSA algorithm (Q6612068) (← links)
