Results 71 to 80 of about 72,215 (301)

Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM) [PDF]

open access: yes, 2017
Hybrid Fuzzy proportional-integral-derivative (PID) controllers (F-PID-C) is designed and analyzed for controlling speed of brushless DC (BLDC) motor. A simulation investigation of the controller for controlling the speed of BLDC motors is performed to ...
Farag A. M., Elkarghali
core  

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo   +3 more
wiley   +1 more source

Semiactive Self-Tuning Fuzzy Logic Control of Full Vehicle Model with MR Damper

open access: yesAdvances in Mechanical Engineering, 2014
Intelligent controllers are studied for vibration reduction of a vehicle consisting in a semiactive suspension system with a magnetorheological(MR) damper. The vehicle is modeled with seven degrees of freedom as a full vehicle model.
Mahmut Paksoy, Rahmi Guclu, Saban Cetin
doaj   +1 more source

Optimization of stand-alone photovoltaic system by implementing fuzzy logic MPPT controller [PDF]

open access: yes, 2013
A photovoltaic (PV) generator is a nonlinear device having insolation-dependent volt-ampere characteristics. Since the maximum-power point varies with solar insolation, it is difficult to achieve an optimum matching that is valid for all insolation
Hashim, Mokhtar
core  

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Optimization of DC - DC boost converter using fuzzy logic controller [PDF]

open access: yes, 2013
DC-DC converters are electronic devices used to change DC electrical power efficiently from one voltage level to another. Operation of the switching devices causes the inherently nonlinear characteristic of the DC-DC converters including one known as
Soluman Ahtiwish, Aimen Khalifa
core  

Seeing Through the Face: Robust Facial Diagnosis Enhanced by Landmark Detection and Pose Normalization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie   +12 more
wiley   +1 more source

Tuning Fuzzy-Logic Controllers [PDF]

open access: yes, 2012
The classical proportional-derivative (PD) control is relatively easy to design, but useful for fast response controllers by combining proportional control and derivative control in parallel. However, as PD control is linear, it is not able to be used to deal with non-linear plants.
Trung-Kien Dao, Chih-Keng Che
openaire   +3 more sources

Optimal rules base development in Type-2 fuzzy logic for stochastic chemical control system

open access: yesDigital Chemical Engineering
This study proposes the optimal development of rule bases using Type-2 fuzzy logic specifically designed for stochastic chemical control systems. The research addresses complexities and uncertainties inherent in stochastic pH neutralisation processes ...
Mohd Fauzi Zanil   +4 more
doaj   +1 more source

Intelligent control for nonlinear inverted pendulum based on interval type-2 fuzzy PD controller

open access: yesAlexandria Engineering Journal, 2014
The interval type-2 fuzzy logic controller (IT2-FLC) is able to model and minimize the numerical and linguistic uncertainties associated with the inputs and outputs of a fuzzy logic system (FLS).
Ahmad M. El-Nagar   +2 more
doaj   +1 more source

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