Pages that link to "Item:Q5026619"
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The following pages link to Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems (Q5026619):
Displaying 11 items.
- Gradient-based iterative identification method for multivariate equation-error autoregressive moving average systems using the decomposition technique (Q1717535) (← links)
- Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems (Q1797200) (← links)
- Newton iterative identification for a class of output nonlinear systems with moving average noises (Q2436948) (← links)
- (Q3340747) (← links)
- Recursive maximum likelihood identification method for a multivariable controlled autoregressive moving average system (Q4684008) (← links)
- Maximum likelihood gradient‐based iterative estimation for multivariable systems (Q5221136) (← links)
- Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory (Q5240987) (← links)
- Bias-compensated least squares and fuzzy PSO based hierarchical identification of errors-in-variables Wiener systems (Q6111221) (← links)
- Maximum likelihood gradient‐based iterative estimation for closed‐loop Hammerstein nonlinear systems (Q6117640) (← links)
- Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements (Q6168998) (← links)
- Highly‐computational hierarchical iterative identification methods for multiple‐input multiple‐output systems by using the auxiliary models (Q6194874) (← links)
