Pages that link to "Item:Q2282370"

The following pages link to A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models (Q2282370):

Displaying 20 items.

• Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models (Q253892) (← links)
• Combined parameter and state estimation algorithms for multivariable nonlinear systems using MIMO Wiener models (Q328339) (← links)
• A nonlinear recursive instrumental variables identification method of Hammerstein ARMAX system (Q493977) (← links)
• Instrumental variable-based OMP identification algorithm for Hammerstein systems (Q1654317) (← links)
• Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems (Q1660344) (← links)
• Coupled least squares identification algorithms for multivariate output-error systems (Q1662599) (← links)
• Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration (Q1761572) (← links)
• Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method (Q1789694) (← links)
• An interactive maximum likelihood estimation method for multivariable Hammerstein systems (Q2217617) (← links)
• Recursive identification of bilinear time-delay systems through the redundant rule (Q2291091) (← links)
• Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method (Q2295093) (← links)
• Normalized fractional adaptive methods for nonlinear control autoregressive systems (Q2307165) (← links)
• Some stochastic gradient algorithms for Hammerstein systems with piecewise linearity (Q2697720) (← links)
• Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique (Q2808783) (← links)
• Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems (Q5109096) (← links)
• Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory (Q5240987) (← links)
• Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems (Q6061864) (← links)
• Hierarchical recursive least squares parameter estimation methods for multiple-input multiple-output systems by using the auxiliary models (Q6493593) (← links)
• Parameters estimation for the Hammerstein-Wiener models with colored noise based on hybrid signals (Q6558276) (← links)
• A recursive hierarchical parametric estimation algorithm for nonlinear systems described by Wiener-Hammerstein models (Q6563426) (← links)