In this paper, a new approach is developed for the identification of Wiener–Hammerstein
model structures. Unlike several other papers, the transfer functions of linear elements are of …

In this paper, a new identification method is developed for Wiener–Hammerstein systems
that contain memory nonlinearity of backlash type. The latter is flanked by two linear transfer …

In this paper, a novel recursive hierarchical parametric identification method based on initial
value optimization is proposed for Wiener-Hammerstein systems subject to stochastic …

This paper addresses a kernel-based learning problem for a network of agents locally
observing a latent multidimensional, nonlinear phenomenon in a noisy environment. We …

We present a new internal structure exploration method developed for the multiple-input
multiple-output (MIMO) dynamical systems with finite memory and almost arbitrary non …

This paper addresses a kernel-based learning problem for a network of agents locally
observing a latent multidimensional, nonlinear phenomenon in a noisy environment. We …

W ramach przedstawionych w pracy rozważań, systemem będziemy nazywali bliżej
nieokreślony obiekt, który przekształca pewien sygnał wejściowy (wejście systemu) w …