Pages that link to "Item:Q2282624"

The following pages link to Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling (Q2282624):

Displaying 22 items.

• A novel parameter separation based identification algorithm for Hammerstein systems (Q289245) (← links)
• A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems (Q297706) (← links)
• Data filtering-based multi-innovation stochastic gradient algorithm for nonlinear output error autoregressive systems (Q308042) (← links)
• Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities (Q325722) (← links)
• Recursive least squares algorithm and gradient algorithm for Hammerstein-Wiener systems using the data filtering (Q332822) (← links)
• Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition (Q335697) (← links)
• Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling (Q346039) (← links)
• Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive autoregressive systems based on the filtering technique (Q494751) (← links)
• Auxiliary model based multi-innovation stochastic gradient identification algorithm for periodically non-uniformly sampled-data Hammerstein systems (Q1657036) (← links)
• Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering (Q1660400) (← links)
• Parameter identification of a class of nonlinear systems based on the multi-innovation identification theory (Q1660694) (← links)
• Filtering based recursive least squares algorithm for multi-input multioutput Hammerstein models (Q1717904) (← links)
• Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics (Q2068227) (← links)
• Inventory control policy for a periodic review system with expediting (Q2293983) (← links)
• Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique (Q2429064) (← links)
• Filtering based recursive least squares algorithm for Hammerstein FIR-MA systems (Q2435673) (← links)
• Improving the modelling efficiency of Hammerstein system using Kalman filter and its parameters optimised using social mimic algorithm: application to heating and cascade water tanks (Q2667432) (← links)
• Weighted parameter estimation for Hammerstein nonlinear ARX systems (Q2697716) (← links)
• Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique (Q2808783) (← links)
• Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling (Q6060476) (← links)
• The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems (Q6092381) (← links)
• Correlation analysis-based parameter learning of Hammerstein nonlinear systems with output noise (Q6173490) (← links)