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 …
System identification: new paradigms, challenges, and opportunities
W Le-Yi, Z Wen-Xiao - Acta automatica sinica, 2013 - Elsevier
The traditional paradigm of system identification employs prior information on system
structures and environments and input/output observation data to derive system models …
structures and environments and input/output observation data to derive system models …
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 …
Wiener–Hammerstein system identification: A fast approach through spearman correlation
MAH Shaikh, K Barbé - IEEE Transactions on Instrumentation …, 2019 - ieeexplore.ieee.org
The Wiener-Hammerstein (WH) system is a popular and easy to understand class of Volterra
nonlinear dynamical system. It consists of a static nonlinearity positioned between two …
nonlinear dynamical system. It consists of a static nonlinearity positioned between two …
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery
MAH Shaikh, K Barbé - Biomedical Signal Processing and Control, 2023 - Elsevier
Electrosurgery uses electric current to heat, coagulate and ligate tissue. The current flow
induces a voltage due to the bio-impedance of the tissue. The flow of the current should be …
induces a voltage due to the bio-impedance of the tissue. The flow of the current should be …
[PDF][PDF] 系统辨识: 新的模式, 挑战及机遇
王乐一, 赵文虓 - 自动化学报, 2013 - aas.net.cn
摘要钱学森教授曾对“系统” 给出一个简明的定义:“系统是指依一定秩序相互联系的一组事物”.
一般说来, 系统辨识可以认为是利用已知先验信息和输入–输出数据来建立系统数学模型的科学 …
一般说来, 系统辨识可以认为是利用已知先验信息和输入–输出数据来建立系统数学模型的科学 …
Recursive identification of Hammerstein systems: Convergence rate and asymptotic normality
In this work, recursive identification algorithms are developed for Hammerstein systems
under the conditions considerably weaker than those in the existing literature. For example …
under the conditions considerably weaker than those in the existing literature. For example …
Recursive identification of multi-input multi-output errors-in-variables Hammerstein systems
BQ Mu, HF Chen - IEEE Transactions on Automatic Control, 2014 - ieeexplore.ieee.org
The note considers the identification of multi-input multi-output errors-in-variables
Hammerstein systems, in which both the input and output can be observed but with additive …
Hammerstein systems, in which both the input and output can be observed but with additive …
Fixed point iteration in identifying bilinear models
Inspired by fixed point theory, an iterative algorithm is proposed to identify bilinear models
recursively in this paper. It is shown that the resulting iteration is a contraction mapping on a …
recursively in this paper. It is shown that the resulting iteration is a contraction mapping on a …
A Hammerstein–Wiener model for single-electron transistors
B dos Santos Pês, E Oroski… - … on Electron Devices, 2018 - ieeexplore.ieee.org
This paper proposes a new dynamic behavior model for single-electron transistors (SETs). A
comprehensive review of modeling techniques and previous models was carried out aiming …
comprehensive review of modeling techniques and previous models was carried out aiming …