Pages that link to "Item:Q2362604"

The following pages link to Convergence analysis of the hierarchical least squares algorithm for bilinear-in-parameter systems (Q2362604):

Displaying 11 items.

• Convergence properties of the least squares estimation algorithm for multivariable systems (Q345827) (← links)
• Use Hausdorff metric to analyze convergence of parameter estimation in system identification (Q466308) (← links)
• Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise (Q682789) (← links)
• The filtering based parameter identification for bilinear-in-parameter systems (Q1757521) (← links)
• Identification of Wiener channels using a tensor approach (Q2312512) (← links)
• Convergence of HLS estimation algorithms for multivariable ARX-like systems (Q2383841) (← links)
• Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle (Q2391798) (← links)
• Hierarchical stochastic gradient algorithm and its performance analysis for a class of bilinear-in-parameter systems (Q2400914) (← links)
• Convergence of hierarchical stochastic gradient identification for transfer function matrix model (Q2783698) (← links)
• Maximum likelihood based identification methods for rational models (Q5025848) (← links)
• Design of auxiliary model and hierarchical normalized fractional adaptive algorithms for parameter estimation of bilinear-in-parameter systems (Q6496702) (← links)