Pages that link to "Item:Q1691186"

The following pages link to A novel APSO-aided weighted LSSVM method for nonlinear Hammerstein system identification (Q1691186):

Displaying 8 items.

• Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise (Q682789) (← links)
• Nuclear norm-based recursive subspace prediction of time-varying continuous-time stochastic systems via distribution theory (Q1622252) (← links)
• A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems (Q2242493) (← links)
• A weighted LS-SVM approach for the identification of a class of nonlinear inverse systems (Q2267115) (← links)
• Identification of nonlinear system using extreme learning machine based Hammerstein model (Q2300242) (← links)
• A novel APSO-aided maximum likelihood identification method for Hammerstein systems (Q2435639) (← links)
• Maximum likelihood based identification methods for rational models (Q5025848) (← links)
• A novel mesh discretization strategy for numerical solution of optimal control problems in aerospace engineering (Q6053915) (← links)