Pages that link to "Item:Q1614389"
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The following pages link to Frequency-domain subspace system identification using non-parametric noise models (Q1614389):
Displaying 12 items.
- Robust data driven \(H_\infty\) control for wind turbine (Q308276) (← links)
- Two nonlinear optimization methods for black box identification compared (Q608476) (← links)
- Continuous-time frequency domain subspace system identification (Q671463) (← links)
- Identification of nonlinear systems using polynomial nonlinear state space models (Q983202) (← links)
- An insight into instrumental variable frequency-domain subspace identification (Q983943) (← links)
- Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets (Q1362427) (← links)
- Hierarchical gradient-based identification of multivariable discrete-time systems (Q1764051) (← links)
- A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data (Q2125553) (← links)
- Frequency domain identification of FIR models in the presence of additive input-output noise (Q2307571) (← links)
- (Q3194121) (← links)
- The Use of Nonparametric Noise Models Extracted From Overlapping Subrecords for System Identification (Q4573224) (← links)
- Identification of EIV models by compensated PEM (Q4960148) (← links)
