Pages that link to "Item:Q2346248"
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The following pages link to Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique (Q2346248):
Displaying 10 items.
- A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems (Q2407814) (← links)
- The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise (Q2411712) (← links)
- Aitken based modified Kalman filtering stochastic gradient algorithm for dual-rate nonlinear models (Q2416724) (← links)
- A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace (Q2665156) (← links)
- Gradient-based iterative identification for nonuniform sampling output error systems (Q2846259) (← links)
- A stochastic procedure to solve linear ill-posed problems (Q2979623) (← links)
- Iterative estimation for a non-linear IIR filter with moving average noise by means of the data filtering technique (Q4966974) (← links)
- Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter (Q5026890) (← links)
- Convergence Analysis of Weighted Stochastic Gradient Identification Algorithms Based on Latest‐Estimation for ARX Models (Q5194867) (← links)
- Auxiliary model‐based iterative parameter estimation for a nonlinear output‐error system with saturation and dead‐zone nonlinearity (Q6089760) (← links)
