Pages that link to "Item:Q6053671"
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The following pages link to Multi‐innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle (Q6053671):
Displaying 10 items.
- Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems (Q552195) (← links)
- Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory (Q2003302) (← links)
- (Q3110529) (← links)
- (Q3131261) (← links)
- Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory (Q5240987) (← links)
- Identification of dual‐rate sampled errors‐in‐variables systems with time delays (Q6081006) (← links)
- Data filtering‐based parameter estimation algorithms for a class of nonlinear systems with colored noises (Q6081010) (← links)
- Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements (Q6168998) (← links)
- Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique (Q6194657) (← links)
- A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept (Q6558256) (← links)
