Wiener–Hammerstein system identification: A fast approach through spearman correlation
MAH Shaikh, K Barbé - IEEE Transactions on Instrumentation …, 2019 - ieeexplore.ieee.org
The Wiener-Hammerstein (WH) system is a popular and easy to understand class of Volterra
nonlinear dynamical system. It consists of a static nonlinearity positioned between two …
nonlinear dynamical system. It consists of a static nonlinearity positioned between two …
Initial estimates of the linear subsystems of Wiener–Hammerstein models
DT Westwick, J Schoukens - Automatica, 2012 - Elsevier
The iterative optimizations often used to identify Wiener–Hammerstein models, pairs of
linear filters separated by memoryless nonlinearities, require good initial estimates of the …
linear filters separated by memoryless nonlinearities, require good initial estimates of the …
Classification of the poles and zeros of the best linear approximations of Wiener-Hammerstein systems
DT Westwick, J Schoukens - IFAC Proceedings Volumes, 2012 - Elsevier
The parameters of a Wiener-Hammerstein model, a nonlinear block structure comprising two
linear filters separated by a memoryless nonlinearity, may be identified using an iterative …
linear filters separated by a memoryless nonlinearity, may be identified using an iterative …
Spearman correlation for initial estimation of Wiener-Hammerstein system
MAH Shaikh, K Barbé - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
A block oriented structure of two linear filters sundered by a memoryless nonlinearity can be
approximated to figure out poles and zeros. The true pole-zero configuration of individual …
approximated to figure out poles and zeros. The true pole-zero configuration of individual …
Hammerstein system identification with multisine excitations—Quantized low-power observations case
J Figwer - 2013 18th International Conference on Methods & …, 2013 - ieeexplore.ieee.org
In the paper an approach to Hammerstein system identification based on quantized low-
power observations is presented. In the presented approach realisations of discrete-time …
power observations is presented. In the presented approach realisations of discrete-time …
Nonlinear system identification using memetic algorithms
Ł Maliński, J Figwer - … Conference on Methods and Models in …, 2015 - ieeexplore.ieee.org
In the paper a unified approach to parametric nonlinear input-output dynamic system
identification based on a memetic optimisation algorithm is presented. Efficiency of the …
identification based on a memetic optimisation algorithm is presented. Efficiency of the …
Identification of linear subsystem for simple block-oriented nonlinear systems working in closed-loop—Higher order spectra approach
T Główka, J Figwer - 2014 18th International Conference on …, 2014 - ieeexplore.ieee.org
In the paper a strategy for discrete-time model identification of linear dynamic subsystem in
simple block-oriented nonlinear systems operating under feedback is presented. In the …
simple block-oriented nonlinear systems operating under feedback is presented. In the …