Pages that link to "Item:Q2289158"

The following pages link to The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems (Q2289158):

Displaying 23 items.

• A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's \(t\)-distribution noises (Q682739) (← links)
• Maximum likelihood estimation of linear stochastic systems in the class of sequential square-root orthogonal filtering methods (Q766056) (← links)
• Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise (Q1648051) (← links)
• Adaptive gradient-based iterative algorithm for multivariable controlled autoregressive moving average systems using the data filtering technique (Q1654319) (← links)
• A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems (Q1659459) (← links)
• Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique (Q1660826) (← links)
• The relaxed gradient-based iterative algorithms for a class of generalized coupled Sylvester-conjugate matrix equations (Q1661797) (← links)
• New proof of the gradient-based iterative algorithm for the Sylvester conjugate matrix equation (Q1672694) (← links)
• Data filtering based recursive least squares algorithm for two-input single-output systems with moving average noises (Q1714709) (← links)
• Filtering based recursive least squares algorithm for multi-input multioutput Hammerstein models (Q1717904) (← links)
• Gradient-based iterative algorithms for generalized coupled Sylvester-conjugate matrix equations (Q1732490) (← links)
• Data filtering based recursive and iterative least squares algorithms for parameter estimation of multi-input output systems (Q1736818) (← links)
• The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise (Q2011872) (← links)
• Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle (Q2228963) (← links)
• Optimal experiment design for identification of ARX models with constrained output in non-Gaussian noise (Q2292378) (← links)
• Computational fluid dynamics based dynamic modeling of parafoil system (Q2295060) (← links)
• Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method (Q2295093) (← links)
• Maximum likelihood based identification methods for rational models (Q5025848) (← links)
• Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique (Q5025908) (← links)
• Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory (Q5240987) (← links)
• A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise (Q6135577) (← links)
• Distributed joint parameter and state estimation algorithm for large-scale interconnected systems (Q6585583) (← links)
• A modified gradient-based iterative algorithm for solving the complex conjugate and transpose matrix equations (Q6619381) (← links)