Pages that link to "Item:Q2296833"

The following pages link to Nonlinear system identification using fractional Hammerstein-Wiener models (Q2296833):

Displaying 21 items.

• An improved method for Wiener-Hammerstein system identification based on the fractional approach (Q1797134) (← links)
• Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach (Q2001109) (← links)
• Extended dissipativity analysis for T-S fuzzy systems based on reliable memory control and aperiodic sampled-data method (Q2125298) (← links)
• Identification for Hammerstein nonlinear systems based on universal spline fractional order LMS algorithm (Q2207073) (← links)
• An interactive maximum likelihood estimation method for multivariable Hammerstein systems (Q2217617) (← links)
• Fully parametric identification for continuous time fractional order Hammerstein systems (Q2291084) (← links)
• Nonlinear system identification using fractional Hammerstein-Wiener models (Q2296833) (← links)
• A multiple‐input–single‐output fractional‐order Hammerstein model identification based on modified neural network (Q4557078) (← links)
• Computational Algorithms for Wavelet Identification of Nonlinearities in Hammerstein Systems With Random Inputs (Q4567696) (← links)
• Hierarchical fractional-order Hammerstein system identification (Q5028659) (← links)
• Robust identification of MISO neuro‐fractional‐order Hammerstein systems (Q5225137) (← links)
• Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy (Q6040445) (← links)
• Parameter and state estimation of nonlinear fractional-order model using Luenberger observer (Q6045793) (← links)
• A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems (Q6109495) (← 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)
• Recursive identification for fractional order Hammerstein model based on ADELS (Q6484137) (← links)
• Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling (Q6494672) (← links)
• Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation (Q6494842) (← links)
• Two-stage gradient-based iterative algorithms for the fractional-order nonlinear systems by using the hierarchical identification principle (Q6496211) (← links)
• Direct adaptive inverse control based on nonlinear Volterra model via fractional LMS algorithm (Q6636255) (← links)