Incorporation of stochastic fractal search algorithm into efficient design of PID controller for an automatic voltage regulator system

E Çelik - Neural Computing and Applications, 2018 - Springer
Although most accepted control algorithm is of proportional+ integral+ derivative (PID)
structure in automatic voltage regulator (AVR) systems due to its effectiveness and simplicity …

[PDF][PDF] An intelligent fire detection and mitigation system safe from fire (SFF)

MI Mobin, M Abid-Ar-Rafi, MN Islam, MR Hasan - Int. J. Comput. Appl, 2016 - academia.edu
ABSTRACT Safe From Fire (SFF) is an intelligent self controlled smart fire extinguisher
system assembled with multiple sensors, actuators and operated by micro-controller unit …

A New Methodology of Multicriteria Decision‐Making in Supplier Selection Based on Z‐Numbers

B Kang, Y Hu, Y Deng, D Zhou - Mathematical problems in …, 2016 - Wiley Online Library
Supplier selection is a significant issue of multicriteria decision‐making (MCDM), which has
been heavily studied with classical fuzzy methodologies, but the reliability of the knowledge …

A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system

A Meharrar, M Tioursi, M Hatti, AB Stambouli - Expert systems with …, 2011 - Elsevier
The power from wind varies depending on the environmental factors. Many methods have
been proposed to locate and track the maximum power point (MPPT) of the wind, such as …

Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades

G Bosque, I del Campo, J Echanobe - Engineering Applications of Artificial …, 2014 - Elsevier
In recent decades, and in order to develop applications covering several areas of
knowledge, different researchers have been performing hardware implementations around …

FPGA-based adaptive PID control of a DC motor driver via sliding-mode approach

CF Hsu, BK Lee - Expert Systems with Applications, 2011 - Elsevier
The proportional-integral-derivative (PID) controller has been extensively applied in
practical industry due to its appealing characteristics such as simple architecture, easy …

Speed control of permanent magnet synchronous motors using fuzzy controller based on genetic algorithms

N Öztürk, E Çelik - International Journal of Electrical Power & Energy …, 2012 - Elsevier
In this study, speed control of a permanent magnet synchronous motor (PMSM) with genetic
based fuzzy controller has been simulated. Earlier studies have focused on different …

Supervisory adaptive dynamic RBF-based neural-fuzzy control system design for unknown nonlinear systems

CF Hsu, CM Lin, RG Yeh - Applied soft computing, 2013 - Elsevier
Many published papers show that a TSK-type fuzzy system provides more powerful
representation than a Mamdani-type fuzzy system. Radial basis function (RBF) network has …

Adaptive neuro-fuzzy inference system for diagnosis of the heart valve diseases using wavelet transform with entropy

H Uğuz - Neural Computing and applications, 2012 - Springer
Listening via stethoscope is a preferential method, being used by physicians for
distinguishing normal and abnormal cardiac systems. On the other hand, listening with …

Tuning of extended Kalman filter using grey wolf optimisation for speed control of permanent magnet synchronous motor drive

R Pilla, TS Gorripotu, AT Azar - International Journal of …, 2021 - inderscienceonline.com
This paper deals with tuning of extended Kalman filter (EKF) using grey wolf optimisation
(GWO) for sensor less speed control of permanent magnet synchronous motor (PMSM) …