Pages that link to "Item:Q2224797"

The following pages link to Robust identification of linear ARX models with recursive EM algorithm based on Student's t-distribution (Q2224797):

Displaying 7 items.

• A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's \(t\)-distribution noises (Q682739) (← links)
• Regularized LTI system identification in the presence of outliers: a variational EM approach (Q2003792) (← links)
• Identification of errors-in-variables ARX models using modified dynamic iterative PCA (Q2170725) (← links)
• Further results on ``System identification of nonlinear state-space models'' (Q2682306) (← links)
• Identification of the ARX model with random impulse noise based on forgetting factor multi-error information entropy (Q6042577) (← links)
• Time‐delay and parameter estimation for an ARX model based on copula theory and Armijo criterion and their applications in the modeling of the dynamics of the UAV (Q6194841) (← links)
• Expectation-maximization algorithm for bilinear state-space models with time-varying delays under non-Gaussian noise (Q6498021) (← links)