Pages that link to "Item:Q2087500"

The following pages link to Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise (Q2087500):

Displaying 27 items.

• Combined state and parameter estimation for a bilinear state space system with moving average noise (Q1661792) (← links)
• Recursive parameter identification of the dynamical models for bilinear state space systems (Q1687334) (← links)
• Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window (Q2205494) (← links)
• Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise (Q2334210) (← links)
• Hierarchical stochastic gradient algorithm and its performance analysis for a class of bilinear-in-parameter systems (Q2400914) (← links)
• (Q3131261) (← links)
• Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator (Q6049911) (← links)
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
• Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems (Q6133112) (← links)
• Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises (Q6183845) (← links)
• Highly‐computational hierarchical iterative identification methods for multiple‐input multiple‐output systems by using the auxiliary models (Q6194874) (← links)
• Auxiliary model-based hierarchical stochastic gradient methods for multiple-input multiple-output systems (Q6489227) (← links)
• Convergence analysis of a synchronous gradient estimation scheme for time-varying parameter systems (Q6489254) (← links)
• Expectation-maximization algorithm for bilinear state-space models with time-varying delays under non-Gaussian noise (Q6498021) (← links)
• A filtering-based recursive extended least squares algorithm and its convergence for finite impulse response moving average systems (Q6545340) (← links)
• Hierarchical estimation methods based on the penalty term for controlled autoregressive systems with colored noises (Q6560443) (← links)
• Novel parameter estimation method for the systems with colored noises by using the filtering identification idea (Q6569400) (← 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)
• Cauchy kernel correntropy-based robust multi-innovation identification method for the nonlinear exponential autoregressive model in non-Gaussian environment (Q6577233) (← links)
• Decomposition-based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise (Q6577238) (← links)
• Parameter identification of fractional-order Wiener system based on FF-ESG and GI algorithms (Q6583463) (← links)
• Filtered generalized iterative parameter identification for equation-error autoregressive models based on the filtering identification idea (Q6585579) (← links)
• Distributed joint parameter and state estimation algorithm for large-scale interconnected systems (Q6585583) (← links)
• Multiple-model state-space system identification with time delay using the EM algorithm (Q6611346) (← links)
• Auxiliary model maximum likelihood gradient-based iterative identification for feedback nonlinear systems (Q6631782) (← links)
• Adaptive multi-innovation gradient identification algorithms for a controlled autoregressive moving average model (Q6652767) (← links)
• Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle (Q6664769) (← links)