Pages that link to "Item:Q5240987"

The following pages link to Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory (Q5240987):

Displaying 12 items.

• Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems (Q552195) (← links)
• Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise (Q776148) (← links)
• 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)
• Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory (Q2003302) (← links)
• A novel recursive learning identification scheme for Box-Jenkins model based on error data (Q2241739) (← links)
• (Q3131261) (← links)
• Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems (Q5026619) (← links)
• Maximum likelihood gradient‐based iterative estimation for multivariable systems (Q5221136) (← links)
• Parameters estimation for the Hammerstein-Wiener models with colored noise based on hybrid signals (Q6558276) (← links)
• Decomposition-based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise (Q6577238) (← links)
• Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle (Q6664769) (← links)