Block-oriented nonlinear models are popular in nonlinear system identification because of
their advantages of being simple to understand and easy to use. Many different identification …

This paper deals with the identification of Hammerstein–Wiener models. The novelty lies in
the fact that the front nonlinear block is allowed to be the memory of hysteresis type. The …

The problem of system identification is addressed for Hammerstein-Wiener systems that
involve memory operator of backlash type bordered by straight lines as input nonlinearity …

Block-oriented nonlinear models are popular in nonlinear modeling because of their
advantages to be quite simple to understand and easy to use. To increase the flexibility of …

Available methods for identification of stochastic dynamical systems from input–output data
generally impose restricting structural assumptions on either the noise structure in the data …

Abstract Standard Hammerstein-Wiener models consist of a linear subsystem sandwiched
by two memoryless nonlinearities. Presently, the linear subsystem may be parametric or not …

The problem of identifying Hammerstein-Wiener systems is addressed in the presence of
linear subsystem of structure totally unknown and piecewise affine (or hard) input …

The high energy density characteristic of the all-solid-state battery technology makes it one
of the promising competitors of current liquid electrolyte-based lithium-ion batteries …

This paper deals with the identification of Hammerstein-Wiener models with an irregular
function in the input block. These models comprise a set of linear segments. The linear time …

Hammerstein-Wiener models have been proved to be suitable in modelling a class of typical
non-linear dynamic systems. This paper aims at developing a Hammerstein-Wiener Neural …