Pages that link to "Item:Q1761572"
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The following pages link to Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration (Q1761572):
Displaying 15 items.
- Hierarchical recursive least squares algorithm for Hammerstein systems using the filtering method (Q2353884) (← links)
- Least-squares-based iterative identification algorithm for Wiener nonlinear systems (Q2375585) (← links)
- Filtering-based multistage recursive identification algorithm for an input nonlinear output-error autoregressive system by using the key term separation technique (Q2399050) (← links)
- A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering (Q2412488) (← links)
- Filtering based recursive least squares algorithm for Hammerstein FIR-MA systems (Q2435673) (← links)
- Least squares algorithm for an input nonlinear system with a dynamic subspace state space model (Q2436150) (← links)
- Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems (Q2436166) (← links)
- Newton iterative identification for a class of output nonlinear systems with moving average noises (Q2436948) (← links)
- Iterative estimation methods for Hammerstein controlled autoregressive moving average systems based on the key-term separation principle (Q2439375) (← links)
- Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique (Q2808783) (← links)
- Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory (Q2958262) (← links)
- Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems (Q5109096) (← links)
- Two-Stage Recursive Least Squares Parameter Identification for Cascade Systems with Dead Zone (Q5377271) (← links)
- Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition (Q5965345) (← links)
- Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity (Q6068317) (← links)
