Pages that link to "Item:Q2504513"

The following pages link to Identification of nonlinear systems using a piecewise-linear hammerstein model (Q2504513):

Displaying 21 items.

• Identification of discontinuous nonlinear systems via a multivariate Padé approach (Q729356) (← links)
• From linear to nonlinear identification: one step at a time (Q984196) (← links)
• Parameter identification of discontinuous Hammerstein systems (Q1362434) (← links)
• A unified approach for the parametric identification of SISO/MIMO Wiener and Hammerstein systems (Q1659444) (← links)
• Identification of nonlinear dynamic systems with input saturation and output backlash using three-block cascade models (Q1660378) (← links)
• Modeling and identification of discrete-time nonlinear dynamic cascade systems with input hysteresis (Q1665581) (← links)
• Subspace identification of Hammerstein model with unified discontinuous nonlinearity (Q1792765) (← links)
• System identification of Hammerstein models by using backward shift algorithm (Q2246467) (← links)
• System identification application using Hammerstein model (Q2363757) (← links)
• Comments on ``Identification of Hammerstein nonlinear ARMAX systems'' (Q2467511) (← links)
• Design of a nonlinear controller based on a piecewise-linear Hammerstein model (Q2481492) (← links)
• Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique (Q2808783) (← links)
• Modeling nonlinear systems using multiple piecewise linear equations (Q2815488) (← links)
• A genetic approach to the identification of linear dynamical systems with static nonlinearities (Q3366343) (← links)
• Identification of Hammerstein models for control using ASYM (Q4543922) (← links)
• Instrument variable method based on nonlinear transformed instruments for Hammerstein system identification (Q4555759) (← links)
• Computational Algorithms for Wavelet Identification of Nonlinearities in Hammerstein Systems With Random Inputs (Q4567696) (← links)
• Hammerstein system identification by non-parametric regression estimation (Q4721945) (← links)
• System identification based on Hammerstein model (Q5460611) (← links)
• Filtering‐based multi‐innovation recursive identification methods for input nonlinear systems with piecewise‐linear nonlinearity based on the optimization criterion (Q6053746) (← links)
• Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity (Q6068317) (← links)