A survey of Bouc-Wen hysteretic models applied to piezo-actuated mechanical systems: Modeling, identification, and control

J Cai, W Dong, R Nagamune - Journal of Intelligent Material …, 2023 - journals.sagepub.com
Hysteretic nonlinearity behavior ubiquitously occurs in mechanical systems, particularly in
high-precision instruments, which severely degrades system output performance …

Identification of Hammerstein nonlinear ARMAX systems

F Ding, T Chen - Automatica, 2005 - Elsevier
Two identification algorithms, an iterative least-squares and a recursive least-squares, are
developed for Hammerstein nonlinear systems with memoryless nonlinear blocks and linear …

A blind approach to the Hammerstein–Wiener model identification

EW Bai - Automatica, 2002 - Elsevier
In this paper, we propose a blind approach to the sampled Hammerstein–Wiener model
identification. By using the blind approach, it is shown that all internal variables can be …

A bibliography on nonlinear system identification

GB Giannakis, E Serpedin - Signal Processing, 2001 - Elsevier
The present bibliography represents a comprehensive list of references on nonlinear system
identification and its applications in signal processing, communications, and biomedical …

Auxiliary model-based least-squares identification methods for Hammerstein output-error systems

F Ding, Y Shi, T Chen - Systems & Control Letters, 2007 - Elsevier
The difficulty in identification of a Hammerstein (a linear dynamical block following a
memoryless nonlinear block) nonlinear output-error model is that the information vector in …

[图书][B] Nonparametric system identification

W Greblicki, M Pawlak - 2008 - researchgate.net
The aim of this book is to show that the nonparametric regression can be successfully
applied to system identification and how much can be achieved in this way. It gathers what …

[图书][B] Identification of nonlinear systems using neural networks and polynomial models: a block-oriented approach

A Janczak - 2004 - books.google.com
This monograph systematically presents the existing identification methods of nonlinear
systems using the block-oriented approach It surveys various known approaches to the …

Convergence of the iterative Hammerstein system identification algorithm

EW Bai, D Li - IEEE Transactions on automatic control, 2004 - ieeexplore.ieee.org
The convergence of the iterative identification algorithm for the Hammerstein system has
been an open problem for a long time. In this paper, a detailed study is carried out and …

Identification of MIMO Hammerstein models using least squares support vector machines

I Goethals, K Pelckmans, JAK Suykens, B De Moor - Automatica, 2005 - Elsevier
This paper studies a method for the identification of Hammerstein models based on least
squares support vector machines (LS-SVMs). The technique allows for the determination of …

Subspace identification of Hammerstein systems using least squares support vector machines

I Goethals, K Pelckmans, JAK Suykens… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
This paper presents a method for the identification of multiple-input-multiple-output (MIMO)
Hammerstein systems for the goal of prediction. The method extends the numerical …