Identification of block-oriented nonlinear systems starting from linear approximations: A survey
M Schoukens, K Tiels - Automatica, 2017 - Elsevier
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 …
their advantages of being simple to understand and easy to use. Many different identification …
Wiener–Hammerstein nonlinear system identification using spectral analysis
A Brouri - International Journal of Robust and Nonlinear …, 2022 - Wiley Online Library
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 …
model structures. Unlike several other papers, the transfer functions of linear elements are of …
Identification of Hammerstein–Wiener models with hysteresis front nonlinearities
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 fact that the front nonlinear block is allowed to be the memory of hysteresis type. The …
[图书][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 …
Identification of extended Hammerstein systems with hysteresis-type input nonlinearities described by Preisach model
This paper introduces Preisach model to describe hysteretic input nonlinearities of extended
Hammerstein systems. Preisach model is proved to be an effective model to cover most of …
Hammerstein systems. Preisach model is proved to be an effective model to cover most of …
Detection of asymmetric control valve stiction from oscillatory data using an extended Hammerstein system identification method
J Wang, Q Zhang - Journal of Process Control, 2014 - Elsevier
The study in this paper is motivated by the detection of control valves with asymmetric
stiction resulting in oscillations in feedback control loops. The joint characterization of the …
stiction resulting in oscillations in feedback control loops. The joint characterization of the …
Hysteresis Modeling and Compensation for a Fast Piezo-Driven Scanner in the UAV Image Stabilization System
J Lu, J Wang, Y Bo, X Zhang - Drones, 2023 - mdpi.com
The fast piezo-driven scanner (FPDS) compensates for vibrations in the unmanned aerial
vehicle (UAV) image stabilization system. However, the hysteresis nonlinearity reduces the …
vehicle (UAV) image stabilization system. However, the hysteresis nonlinearity reduces the …
Parameter identification of switched reluctance motor using exponential swept-sine signal
Switched reluctance motors (SRMs) present major interest in several domains, eg, in electric
vehicles, because of their wide range speed variation, high performances, low cost, and …
vehicles, because of their wide range speed variation, high performances, low cost, and …
Identification of Hammerstein-Wiener model with discontinuous input nonlinearity
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 …
function in the input block. These models comprise a set of linear segments. The linear time …
A unified approach for the parametric identification of SISO/MIMO Wiener and Hammerstein systems
F Ikhouane, F Giri - Journal of the Franklin Institute, 2014 - Elsevier
Hammerstein and Wiener models are nonlinear representations of systems composed by
the coupling of a static nonlinearity N and a linear system L in the form N–L and L–N …
the coupling of a static nonlinearity N and a linear system L in the form N–L and L–N …