Pages that link to "Item:Q494751"

The following pages link to Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive autoregressive systems based on the filtering technique (Q494751):

Displaying 33 items.

• A novel parameter separation based identification algorithm for Hammerstein systems (Q289245) (← links)
• Data filtering-based multi-innovation stochastic gradient algorithm for nonlinear output error autoregressive systems (Q308042) (← links)
• A recursive least squares algorithm for pseudo-linear ARMA systems using the auxiliary model and the filtering technique (Q318271) (← links)
• Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities (Q325722) (← links)
• Combined parameter and state estimation algorithms for multivariable nonlinear systems using MIMO Wiener models (Q328339) (← links)
• New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering (Q508358) (← links)
• Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule (Q1647523) (← links)
• Modified multi-innovation stochastic gradient algorithm for Wiener-Hammerstein systems with backlash (Q1648033) (← links)
• Robust identification of Wiener time-delay system with expectation-maximization algorithm (Q1661243) (← links)
• Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems (Q1678371) (← links)
• The Boubaker polynomials and their application to solve fractional optimal control problems (Q1681740) (← links)
• Recursive parameter identification of the dynamical models for bilinear state space systems (Q1687334) (← links)
• High-dimensional time series prediction using kernel-based koopman mode regression (Q1696900) (← links)
• Multi-innovation stochastic gradient identification algorithm for Hammerstein controlled autoregressive autoregressive systems based on the key term separation principle and on the model decomposition (Q1790024) (← links)
• Multi-innovation extended stochastic gradient algorithm and its performance analysis (Q1959352) (← links)
• Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory (Q2003302) (← links)
• Recursive and iterative least squares parameter estimation algorithms for multiple-input-output-error systems with autoregressive noise (Q2003303) (← links)
• Auxiliary variable-based identification algorithms for uncertain-input models (Q2193610) (← links)
• Parameter estimation algorithms for multivariable Hammerstein CARMA systems (Q2279538) (← links)
• The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems (Q2289158) (← links)
• Iterative parameter estimation for signal models based on measured data (Q2312527) (← links)
• Identification of Hammerstein systems with continuous nonlinearity (Q2353643) (← links)
• System identification application using Hammerstein model (Q2363757) (← links)
• Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems (Q2389435) (← links)
• Recursive least squares algorithm for nonlinear dual-rate systems using missing-output estimation model (Q2400915) (← links)
• Gradient-based recursive identification methods for input nonlinear equation error closed-loop systems (Q2402054) (← links)
• The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise (Q2411712) (← links)
• Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique (Q2429064) (← links)
• Weighted parameter estimation for Hammerstein nonlinear ARX systems (Q2697716) (← links)
• Some stochastic gradient algorithms for Hammerstein systems with piecewise linearity (Q2697720) (← links)
• Data filtering based stochastic gradient algorithms for multivariable CARAR-like systems (Q2846822) (← links)
• Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory (Q2958262) (← links)
• An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems (Q6117622) (← links)