Pages that link to "Item:Q5363222"

The following pages link to Decomposition-based recursive least-squares parameter estimation algorithm for Wiener-Hammerstein systems with dead-zone nonlinearity (Q5363222):

Displaying 14 items.

• Decomposition-based least squares parameter estimation algorithm for input nonlinear systems using the key term separation technique (Q494773) (← links)
• Decomposition-based recursive least squares algorithm for Wiener nonlinear feedback FIR-MA systems using the filtering theory (Q736331) (← links)
• A modified multi-innovation algorithm to turntable servo system identification (Q831580) (← links)
• Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances (Q2181451) (← links)
• (Q4731075) (← links)
• Maximum likelihood based identification methods for rational models (Q5025848) (← links)
• Parameter tracking of time-varying Hammerstein-Wiener systems (Q5029102) (← links)
• Adaptive filtering scheme for parameter identification of nonlinear Wiener–Hammerstein systems and its application (Q5130073) (← links)
• Recursive identification of Hammerstein systems with dead-zone nonlinearity in the presence of bounded noise (Q5363221) (← links)
• Two-Stage Recursive Least Squares Parameter Identification for Cascade Systems with Dead Zone (Q5377271) (← links)
• Wiener–Hammerstein nonlinear system identification using spectral analysis (Q6061100) (← links)
• An <i>H</i>_∞ approach to data‐driven fault estimation, and isolation for Hammerstein‐Wiener systems (Q6069275) (← links)
• Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation (Q6494842) (← links)
• Parameter identification based on prescribed estimation error performance for extended Wiener-Hammerstein systems (Q6598716) (← links)