Pages that link to "Item:Q1691191"
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The following pages link to A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data (Q1691191):
Displaying 12 items.
- Orthotopic-filtering-based fault diagnosis algorithms for nonlinear systems with slowly varying faults (Q776146) (← links)
- Communication-reducing algorithm of distributed least mean square algorithm with neighbor-partial diffusion (Q831586) (← links)
- Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models (Q942365) (← links)
- Revisiting Hammerstein system identification through the two-stage algorithm for bilinear parameter estimation (Q1049161) (← links)
- An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems (Q1129645) (← links)
- A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise (Q1996646) (← links)
- IDENTIFICATION OF HAMMERSTEIN OUTPUT-ERROR SYSTEMS WITH TWO-SEGMENT NONLINEARITIES: ALGORITHM AND APPLICATIONS1 (Q3082101) (← links)
- Parameter tracking of time-varying Hammerstein-Wiener systems (Q5029102) (← links)
- The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems (Q6092381) (← links)
- Bias-compensated least squares and fuzzy PSO based hierarchical identification of errors-in-variables Wiener systems (Q6111221) (← links)
- Correlation analysis-based parameter learning of Hammerstein nonlinear systems with output noise (Q6173490) (← links)
- Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling (Q6494672) (← links)
