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PID control model based on back propagation neural network optimized by adversarial learning-based grey wolf optimization
H Liu, Q Yu, Q Wu - Applied Sciences, 2023 - mdpi.com
In processes of industrial production, the online adaptive tuning method of proportional-
integral-differential (PID) parameters using a neural network is found to be more appropriate …
integral-differential (PID) parameters using a neural network is found to be more appropriate …
[PDF][PDF] Parameter estimation of DC motor through whale optimization algorithm
This article estimates the unknown dc motor parameters by adapting the adaptive model
with the reference model created by experimental data onto armature current and speed …
with the reference model created by experimental data onto armature current and speed …
PLC based fractional-order PID temperature control in pipeline: design procedure and experimental evaluation
Fractional-order control system design can be used for systems with non-local dynamics
involving long-term memory effects. However, implementation of a fractional-order controller …
involving long-term memory effects. However, implementation of a fractional-order controller …
[HTML][HTML] Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors
M Huba, D Vrancic - Sensors, 2022 - mdpi.com
The article deals with a computer-supported design of optimal and robust proportional-
integral-derivative controllers with two degrees of freedom (2DoF PID) for a double …
integral-derivative controllers with two degrees of freedom (2DoF PID) for a double …
Cooling device with Peltier element for medical applications
Z Slanina, M Uhlik, V Sladecek - IFAC-PapersOnLine, 2018 - Elsevier
The first part of this article is an overview of portable cooling devices used for biomedical
applications (especially for horse tissues therapy). Commonly used methods list is …
applications (especially for horse tissues therapy). Commonly used methods list is …
Model predictive control-based path tracking control for automatic guided vehicles
H Xu, Z Yu, X Lu, S Wang, S Li… - 2020 4th CAA …, 2020 - ieeexplore.ieee.org
In this study, a path tracking control method based on model predictive control (MPC) is
presented to improve the results of path tracking. A simulation model of an automatic guided …
presented to improve the results of path tracking. A simulation model of an automatic guided …
Swarm robotics: a new framework of military robots
M Sangeetha, K Srinivasan - Journal of Physics: Conference …, 2021 - iopscience.iop.org
In Industries robots are programmed to perform specified tasks like and place, packaging,
transporting etc. Every robots need to be programmed individually to accomplish the task …
transporting etc. Every robots need to be programmed individually to accomplish the task …
[HTML][HTML] PID controller parameter tables for time-delayed systems optimized using hill-climbing
R Büchi - Signals, 2022 - mdpi.com
Several parameter tables for PID controllers are known from the literature, for the control of
time-delayed systems. The best known is that of Ziegler and Nichols, but there are others …
time-delayed systems. The best known is that of Ziegler and Nichols, but there are others …
[PDF][PDF] Parameter estimation of DC motor using adaptive transfer function based on Nelder-Mead optimisation
This paper explains an adaptive method for estimation of unknown parameters of transfer
function model of any system for finding the parameters. The transfer function of the model …
function model of any system for finding the parameters. The transfer function of the model …
Sensoric system for navigation of swarm robotics platform
J Dedek, M Golembiovsky… - 2017 18th International …, 2017 - ieeexplore.ieee.org
This paper deals with sensory equipment for swarm robots. It elaborates on reasons for
choice of sensors based on their principles, ability to operate in swarms and use in a …
choice of sensors based on their principles, ability to operate in swarms and use in a …