Pages that link to "Item:Q2517579"
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The following pages link to Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model (Q2517579):
Displaying 14 items.
- Identification methods for two-variable difference systems (Q318306) (← links)
- Design of modified fractional adaptive strategies for Hammerstein nonlinear control autoregressive systems (Q330947) (← links)
- Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle (Q398298) (← links)
- Identification of Hammerstein nonlinear ARMAX systems using nonlinear adaptive algorithms (Q493959) (← links)
- Orthotopic-filtering-based fault diagnosis algorithms for nonlinear systems with slowly varying faults (Q776146) (← links)
- Least-squares parameter estimation algorithm for a class of input nonlinear systems (Q1760800) (← links)
- Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique (Q1797205) (← links)
- Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach (Q2001109) (← links)
- Auxiliary variable-based identification algorithms for uncertain-input models (Q2193610) (← links)
- Auxiliary model based recursive and iterative least squares algorithm for autoregressive output error autoregressive systems (Q2285824) (← links)
- A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems (Q2407814) (← links)
- Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model (Q2423989) (← links)
- An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models (Q3161650) (← links)
- Auxiliary model based identification methods. part C: input nonlinear output-error autoregressive systems (Q3180776) (← links)