Pages that link to "Item:Q5926855"
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The following pages link to Least-squares identification of a class of multivariable systems with correlated disturbances (Q5926855):
Displaying 14 items.
- Several gradient parameter estimation algorithms for dual-rate sampled systems (Q398410) (← links)
- Hierarchical estimation algorithms for multivariable systems using measurement information (Q506128) (← links)
- Hierarchical least-squares based iterative identification for multivariable systems with moving average noises (Q604137) (← links)
- Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods (Q636465) (← links)
- Multi-innovation least squares identification methods based on the auxiliary model for MISO systems (Q883863) (← links)
- Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model (Q1036542) (← links)
- Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering (Q1660400) (← links)
- Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique (Q1660826) (← links)
- Bias-compensation-based least-squares estimation with a forgetting factor for output error models with white noise (Q2798500) (← links)
- A comparison of three correlation techniques for system identification† (Q3315416) (← links)
- Parameter consistency and quadratically constrained errors-in-variables least-squares identification (Q3577888) (← links)
- Two-Step Process Identification With Correlation Analysis and Least-Squares Parameter Estimation (Q4044423) (← links)
- (Q4543370) (← links)
- The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises (Q6099840) (← links)
