Pages that link to "Item:Q948509"

The following pages link to Performance analysis of stochastic gradient algorithms under weak conditions (Q948509):

Displaying 40 items.

• Identification methods for two-variable difference systems (Q318306) (← links)
• Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model (Q426616) (← links)
• Two-stage least squares based iterative identification algorithm for controlled autoregressive moving average (CARMA) systems (Q453817) (← links)
• Recursive least-squares estimation for Hammerstein nonlinear systems with nonuniform sampling (Q460322) (← links)
• Hierarchical least squares algorithms for single-input multiple-output systems based on the auxiliary model (Q614326) (← links)
• Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems (Q623044) (← links)
• Performance analysis of the AM-SG parameter estimation for multivariable systems (Q628916) (← links)
• An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition (Q714591) (← links)
• The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model (Q784691) (← links)
• The residual-based ESG algorithm and its performance analysis (Q964326) (← links)
• Gradient based iterative solutions for general linear matrix equations (Q979919) (← links)
• The residual based interactive least squares algorithms and simulation studies (Q979937) (← links)
• Time series AR modeling with missing observations based on the polynomial transformation (Q984202) (← links)
• Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems (Q988225) (← links)
• The residual based interactive stochastic gradient algorithms for controlled moving average models (Q1021670) (← links)
• Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model (Q1036542) (← links)
• Two-stage least squares based iterative estimation algorithm for CARARMA system modeling (Q1667765) (← links)
• Two identification methods for dual-rate sampled-data nonlinear output-error systems (Q1718153) (← links)
• Iterative identification algorithm for Wiener nonlinear systems using the Newton method (Q1788772) (← links)
• Gradient based iterative parameter identification for Wiener nonlinear systems (Q1789549) (← links)
• Two-stage recursive least squares parameter estimation algorithm for output error models (Q1931035) (← links)
• Multi-innovation extended stochastic gradient algorithm and its performance analysis (Q1959352) (← links)
• Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search (Q2017916) (← links)
• Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process (Q2339054) (← links)
• Iterative estimation methods for Hammerstein controlled autoregressive moving average systems based on the key-term separation principle (Q2439375) (← links)
• Gradient-based parameter estimation for input nonlinear systems with ARMA noises based on the auxiliary model (Q2441975) (← links)
• Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms (Q2454068) (← links)
• Modified stochastic gradient identification algorithms with fast convergence rates (Q2846337) (← links)
• On-line parameter estimation for a class of time-varying continuous systems with bounded disturbances (Q3084119) (← links)
• The innovation algorithms for multivariable state‐space models (Q5128848) (← links)
• Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises (Q5416435) (← links)
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
• Separable synthesis gradient estimation methods and convergence analysis for multivariable systems (Q6099494) (← links)
• Distributed online multi‐task sparse identification for multiple systems with asynchronous updates (Q6117510) (← links)
• Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements (Q6168998) (← links)
• Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises (Q6183845) (← links)
• Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries (Q6197896) (← links)
• Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input-output-error systems with colored noises from observation data (Q6572457) (← links)
• Auxiliary model maximum likelihood gradient-based iterative identification for feedback nonlinear systems (Q6631782) (← links)
• Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle (Q6664769) (← links)