Pages that link to "Item:Q346039"

The following pages link to Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling (Q346039):

Displaying 50 items.

• Parametric solutions to generalized periodic Sylvester bimatrix equations (Q2181434) (← links)
• Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances (Q2181451) (← links)
• Quasi gradient-based inversion-free iterative algorithm for solving a class of the nonlinear matrix equations (Q2203811) (← links)
• Multi-innovation stochastic gradient parameter and state estimation algorithm for dual-rate state-space systems with \(d\)-step time delay (Q2205280) (← links)
• System identification of Hammerstein models by using backward shift algorithm (Q2246467) (← links)
• Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems (Q2259606) (← links)
• Parameter estimation algorithms for multivariable Hammerstein CARMA systems (Q2279538) (← links)
• A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models (Q2282370) (← links)
• Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling (Q2282624) (← links)
• Auxiliary model method for transfer function estimation from noisy input and output data (Q2282891) (← links)
• Identification of distributed-parameter systems from sparse measurements (Q2294789) (← links)
• Normalized fractional adaptive methods for nonlinear control autoregressive systems (Q2307165) (← links)
• Switch detection and robust parameter estimation for slowly switched Hammerstein systems (Q2327610) (← links)
• Least-squares based and gradient based iterative parameter estimation algorithms for a class of linear-in-parameters multiple-input single-output output error systems (Q2336626) (← links)
• A least squares identification algorithm for a state space model with multi-state delays (Q2339028) (← links)
• Signal modeling using the gradient search (Q2339039) (← links)
• Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process (Q2339054) (← links)
• Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems (Q2345329) (← links)
• Transforms from differential equations to difference equations and vice-versa applied to computer control systems (Q2345348) (← links)
• Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique (Q2346248) (← links)
• A multi-innovation recursive least squares algorithm with a forgetting factor for Hammerstein CAR systems with backlash (Q2362602) (← links)
• A new branch and bound algorithm for minimax ratios problems (Q2364779) (← links)
• Least-squares-based iterative identification algorithm for Wiener nonlinear systems (Q2375585) (← links)
• A novel APSO-aided maximum likelihood identification method for Hammerstein systems (Q2435639) (← links)
• Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle (Q2435648) (← 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)
• Parameter estimation for a multivariable state space system with \(d\)-step state-delay (Q2436802) (← 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)
• Identification of an additive nonlinear system and its applications in generalized Hammerstein models (Q2440613) (← links)
• Improved neural solution for the Lyapunov matrix equation based on gradient search (Q2445328) (← links)
• Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model (Q2517579) (← links)
• Weighted parameter estimation for Hammerstein nonlinear ARX systems (Q2697716) (← links)
• Some stochastic gradient algorithms for Hammerstein systems with piecewise linearity (Q2697720) (← links)
• Least-squares-based iterative identification algorithm for Hammerstein nonlinear systems with non-uniform sampling (Q2855774) (← links)
• Parametric Solutions to the Generalized Discrete Yakubovich-Transpose Matrix Equation (Q2930808) (← links)
• A new linearization technique for minimax linear fractional programming (Q2935390) (← links)
• Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems (Q5003429) (← links)
• Stochastic average gradient algorithm for multirate FIR models with varying time delays using self‐organizing maps (Q5003430) (← links)
• Weighted hierarchical stochastic gradient identification algorithms for ARX models (Q5027992) (← links)
• Identification of non-uniformly sampled Wiener systems with dead-zone non-linearities (Q5035675) (← links)
• A Relaxed Gradient Based Algorithm for Solving Extended <scp>S</scp>ylvester‐Conjugate Matrix Equations (Q5172915) (← links)
• Convergence Analysis of Weighted Stochastic Gradient Identification Algorithms Based on Latest‐Estimation for ARX Models (Q5194867) (← links)
• Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises (Q5416435) (← links)
• Semirecursive nonparametric algorithms for Hammerstein systems with stochastic autocorrelated input (Q5865454) (← links)
• Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy (Q6040445) (← links)
• Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling (Q6060476) (← links)
• Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)