Should we trust the prior knowledge of the system before processing observations? It is one
of fundamental questions in system identification. Correct parametric assumptions imposed …

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 …

This technical note presents a method for the identification of Hammerstein Output Error
(HOE) models corrupted by bounded noise. The method is based on an iterative scheme …

In this paper, a novel method is constructed for model predictive control (MPC) of multi-input
multi-output (MIMO) systems. The latter are represented by a discrete-time MIMO ARX model …

This paper considers the robust recursive stochastic gradient algorithm for identification of
multivariable Hammerstein model with a static nonlinear block in polynomial form and a …

In harmonic radar applications, images produced using algorithms of conventional radar
applications experience some defocusing effects of the electronic targets' impulse …

In the note we examine the recently introduced aggregation modeling technique in a system
identification context. First, we show that its finite sample size properties are preserved for …

The aim of this book is to provide methods and algorithms for the optimization of input
signals so as to estimate parameters in systems described by PDE's as accurate as possible …

This paper proposes a new representation of discrete bilinear model by developing its
coefficients associated to the input, to the output and to the crossed product on three …

In-car camera system emerges as a very useful technology for automobile drivers, as it can
provide proper evidence to insurance companies and to police investigators in case of car …