Volterra-series-based nonlinear system modeling and its engineering applications: A state-of-the-art review
CM Cheng, ZK Peng, WM Zhang, G Meng - Mechanical Systems and Signal …, 2017 - Elsevier
Nonlinear problems have drawn great interest and extensive attention from engineers,
physicists and mathematicians and many other scientists because most real systems are …
physicists and mathematicians and many other scientists because most real systems are …
Edited by P. Bickel, P. Diggle, S. Fienberg, U. Gather
I Olkin, S Zeger - 2006 - Springer
In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career
spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring …
spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring …
[BOOK][B] Combined parametric-nonparametric identification of block-oriented systems
G Mzyk - 2014 - Springer
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 …
of fundamental questions in system identification. Correct parametric assumptions imposed …
[BOOK][B] Nonlinear system identification by Haar wavelets
P Sliwinski - 2012 - books.google.com
In order to precisely model real-life systems or man-made devices, both nonlinear and
dynamic properties need to be taken into account. The generic, black-box model based on …
dynamic properties need to be taken into account. The generic, black-box model based on …
System identification of a class of Wiener systems with hysteretic nonlinearities
Existing works on Wiener system identification have essentially been focused on the case
where the output nonlinearity is memoryless. When memory nonlinearities have been …
where the output nonlinearity is memoryless. When memory nonlinearities have been …
Identification of nonlinear continuous dynamic systems with closed cycle
M Salukvadze, B Shanshiashvili - International Journal of …, 2013 - World Scientific
Structural and parametric identification of nonlinear continuous dynamic systems with a
closed cycle on a set of continuous block-oriented models with feedback is considered. The …
closed cycle on a set of continuous block-oriented models with feedback is considered. The …
System Identification and Its Applications
Abstract System identification uses input–output data to model physical systems
mathematically. This involves examining the system's data to determine its properties and …
mathematically. This involves examining the system's data to determine its properties and …
Nonparametric Identification of Nonlinearity in Wiener-Hammerstein Systems
G Mzyk - International Conference on Informatics in Control …, 2012 - scitepress.org
In the paper we recover the static characteristic of Wiener-Hammerstein (sandwich) system
from input-output data. The system is excited and disturbed by random processes with …
from input-output data. The system is excited and disturbed by random processes with …
[PDF][PDF] Nonparametric System Identification Matlab Toolbox.
G Mzyk - ICINCO (1), 2019 - scitepress.org
In the paper the first version of Nonparametric System Identification Matlab Toolbox is
presented. It is based on theoretical results concerning nonparametric identification method …
presented. It is based on theoretical results concerning nonparametric identification method …
Kernel Estimation of Wiener–Hammerstein System Nonlinearity
G Mzyk - Stochastic Models, Statistics and Their Applications …, 2015 - Springer
The paper addresses the problem of non-parametric estimation of the static characteristic in
Wiener–Hammerstein (sandwich) system excited and disturbed by random processes. Two …
Wiener–Hammerstein (sandwich) system excited and disturbed by random processes. Two …