FI-NPI: Exploring optimal control in parallel platform systems
Typically, the current and speed loop closure of servo motor of the parallel platform is
accomplished with incremental PI regulation. The control method has strong robustness, but …
accomplished with incremental PI regulation. The control method has strong robustness, but …
Neuro-intelligent networks for Bouc–Wen hysteresis model for piezostage actuator
Piezoelectric stage has become promising actuator for wide applications of micro-/nano-
positioning systems represented mathematically with Bouc–Wen hysteresis model to …
positioning systems represented mathematically with Bouc–Wen hysteresis model to …
Modelling and controlling dissolved oxygen in recirculating aquaculture systems based on mechanism analysis and an adaptive PID controller
X Zhou, J Wang, L Huang, D Li, Q Duan - Computers and Electronics in …, 2022 - Elsevier
In aquaculture, dissolved oxygen (DO) content is critical to the growth and development of
aquatic products, and it must be precisely controlled. Based on the theory of microporous …
aquatic products, and it must be precisely controlled. Based on the theory of microporous …
Modeling the prediction of hydrogen production by co‐gasification of plastic and rubber wastes using machine learning algorithms
BV Ayodele, SI Mustapa, R Kanthasamy… - … Journal of Energy …, 2021 - Wiley Online Library
This study aimed to investigate the application of radial basis function (RBF) and multilayer
perceptron (MLP) artificial neural networks for modeling hydrogen production by co …
perceptron (MLP) artificial neural networks for modeling hydrogen production by co …
Direct inverse hysteresis compensation of piezoelectric actuators using adaptive Kalman filter
Y Qin, H Duan, J Han - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
The hysteresis of the piezoelectric actuator exhibits obvious rate dependence, especially in
fast scanning or tracking. This article proposes an adaptive hysteresis compensation method …
fast scanning or tracking. This article proposes an adaptive hysteresis compensation method …
Islanded Microgrids Frequency Support Using Green Hydrogen Energy Storage with AI-Based Controllers
HM El Zoghby, A Safwat, AF Bendary, A Hazem… - IEEE …, 2024 - ieeexplore.ieee.org
Islanded microgrids, powered by renewable energy sources, offer a sustainable electricity
solution for remote areas. However, maintaining frequency stability in these systems …
solution for remote areas. However, maintaining frequency stability in these systems …
High-bandwidth hysteresis compensation of piezoelectric actuators via multilayer feedforward neural network based inverse hysteresis modeling
Y Qin, Y Zhang, H Duan, J Han - Micromachines, 2021 - mdpi.com
This paper proposes a feedforward and feedback combined hysteresis compensation
method for a piezoelectric actuator (PEA) based on the multi-layer feedforward neural …
method for a piezoelectric actuator (PEA) based on the multi-layer feedforward neural …
Closed-LSTM neural network based reference modification for trajectory tracking of piezoelectric actuator
In this article, we propose a trajectory tracking control method for piezoelectric actuators
(PEAs) based on long short-term memory neural network (LSTM-NN). Different from …
(PEAs) based on long short-term memory neural network (LSTM-NN). Different from …
Advances in tracking control for piezoelectric actuators using fuzzy logic and hammerstein-wiener compensation
Piezoelectric actuators (PEA) are devices that are used for nano-microdisplacement due to
their high precision, but one of the major issues is the non-linearity phenomena caused by …
their high precision, but one of the major issues is the non-linearity phenomena caused by …
Machine learning approach for modeling and control of a commercial heliocentris FC50 PEM fuel cell system
M Derbeli, C Napole, O Barambones - Mathematics, 2021 - mdpi.com
In recent years, machine learning (ML) has received growing attention and it has been used
in a wide range of applications. However, the ML application in renewable energies systems …
in a wide range of applications. However, the ML application in renewable energies systems …