Pages that link to "Item:Q335697"
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The following pages link to Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition (Q335697):
Displaying 12 items.
- Least squares-based iterative identification methods for linear-in-parameters systems using the decomposition technique (Q318565) (← links)
- Recursive least squares algorithm and gradient algorithm for Hammerstein-Wiener systems using the data filtering (Q332822) (← links)
- Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering (Q508335) (← links)
- Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule (Q1647523) (← links)
- Iterative identification for multivariable systems with time-delays based on basis pursuit de-noising and auxiliary model (Q1712029) (← links)
- Filtering based recursive least squares algorithm for multi-input multioutput Hammerstein models (Q1717904) (← links)
- Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method (Q2295093) (← links)
- Switch detection and robust parameter estimation for slowly switched Hammerstein systems (Q2327610) (← links)
- Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique (Q2346248) (← links)
- Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle (Q2510471) (← links)
- Least-squares-based iterative identification algorithm for Hammerstein nonlinear systems with non-uniform sampling (Q2855774) (← links)
- The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems (Q6092381) (← links)
