Research on identification and active vibration control of cantilever structure based on NARX neural network

H Song, X Shan, L Zhang, G Wang, J Fan - Mechanical Systems and Signal …, 2022 - Elsevier
Cantilever beam structure has been widely used while the industrial machines are
simplified. Owing to the complicated oscillation, the dynamic vibration model of these …

A Bird's Eye View of Nonlinear System Identification

LA Aguirre - arxiv preprint arxiv:1907.06803, 2019 - arxiv.org
This text aims at providing a bird's eye view of system identification with special attention to
nonlinear systems. The driving force is to give a feeling for the philosophical problems facing …

Neural network adaptive control of magnetic shape memory alloy actuator with time delay based on composite NARMAX model

Y Yu, C Zhang, E Wang, M Zhou - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Magnetic shape memory alloy (MSMA) based actuator plays an important role in the field of
micro and nano-fabrication due to its large stroke. However, the inherent hysteresis of …

Robust PID controller design for positioning systems with hysteresis and time-varying delay

PE Abreu, DN Cardoso, FO Souza - International Journal of Control, 2024 - Taylor & Francis
This paper presents Linear Matrix Inequalities (LMIs) conditions for designing Proportional-
Integral-Derivative (PID) controllers that guarantee asymptotic stability with exponential …

An efficient vibration suppression technology of piezoelectric cantilever beam based on the NARX neural network

H Song, X Shan, W Hou, C Wang… - Mechanics of Advanced …, 2024 - Taylor & Francis
Low-frequency vibration is the core problem that hinders high-precision equipment's
positioning accuracy and control accuracy. However, the response of a nonlinear electrical …

Nonlinearity compensation based on identified NARX polynomials models

LA Tavares, PE Abreu, LA Aguirre - Nonlinear Dynamics, 2022 - Springer
This paper deals with the compensation of nonlinearities in dynamical systems using
Nonlinear polynomial AutoRegressive models with eXogenous inputs (NARX) identified …

Identification Modelling and fault-tolerant predictive control for industrial input nonlinear actuator system

S Dong, Y Zhang - Machines, 2023 - mdpi.com
Industrial actuator systems play an important role in mechanical manufacture, chemical
production and other industrial processes. There is important theoretical research …

Tracking control with hysteresis compensation using neural networks

MM Edardar, AJ Abougarair - 2021 IEEE 1st International …, 2021 - ieeexplore.ieee.org
This paper describes an approach for the compensation of the nonlinear hysteretic
characteristics of a piezoelectric of the actuator by an adaptive inverse hysteretic control …

Input design and recommendations for the identification of hysteretic NARX Models

LA Tavares, PE Abreu, LA Aguirre - Simpósio Brasileiro de Automação …, 2021 - sba.org.br
This paper deals with important aspects in the identification of Nonlinear AutoRegressive
models with eXogenous inputs (NARX), with a particular attention for hysteresis. The main …

Identification and control of systems with hysteresis: concepts and tools

PEOGB Abreu, HC Castro… - International …, 2024 - inderscienceonline.com
Nonlinear system identification and control is a very vast field. In order to make a brief review
manageable the topic has been constrained to focus on systems with hysteresis. The model …