Pages that link to "Item:Q289245"

The following pages link to A novel parameter separation based identification algorithm for Hammerstein systems (Q289245):

Displaying 26 items.

• Iterative algorithms for computing US- and U-eigenpairs of complex tensors (Q508028) (← links)
• New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering (Q508358) (← links)
• Adaptive gradient-based iterative algorithm for multivariable controlled autoregressive moving average systems using the data filtering technique (Q1654319) (← links)
• Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems (Q1678371) (← links)
• Recursive parameter identification of the dynamical models for bilinear state space systems (Q1687334) (← links)
• Identification of non-uniformly sampled-data systems with asynchronous input and output data (Q1691196) (← links)
• Hierarchical Newton iterative parameter estimation of a class of input nonlinear systems based on the key term separation principle (Q1723012) (← links)
• Wiener structure based adaptive control for dynamic processes with approximate monotonic nonlinearities (Q2217648) (← links)
• System identification of Hammerstein models by using backward shift algorithm (Q2246467) (← links)
• Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method (Q2295093) (← links)
• Normalized fractional adaptive methods for nonlinear control autoregressive systems (Q2307165) (← links)
• Iterative parameter estimation for signal models based on measured data (Q2312527) (← links)
• Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise (Q2334210) (← links)
• Multiperiodicity and exponential attractivity of neural networks with mixed delays (Q2402098) (← links)
• The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise (Q2411712) (← links)
• The eigenvalues range of a class of matrices and some applications in Cauchy-Schwarz inequality and iterative methods (Q2423030) (← links)
• Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises (Q2423917) (← links)
• Fitting the exponential autoregressive model through recursive search (Q2423988) (← 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)
• (Q3797075) (← links)
• Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter (Q5026890) (← links)
• Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise (Q5027843) (← links)
• On some parameter estimation algorithms for the nonlinear exponential autoregressive model (Q5240985) (← links)
• Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy (Q6040445) (← links)
• An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems (Q6117622) (← links)