Results 1 to 10 of about 17,502 (247)
ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers [PDF]
Open Engineering, 2016 In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS.
César Manuel Braz, Barros Rui Carneiro
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Neuro-fuzzy controller to navigate an unmanned vehicle. [PDF]
Springerplus, 2013 A Neuro-fuzzy control method for an Unmanned Vehicle (UV) simulation is described. The objective is guiding an autonomous vehicle to a desired destination along a desired path in an environment characterized by a terrain and a set of distinct objects, such as obstacles like donkey traffic lights and cars circulating in the trajectory.
Selma B, Chouraqui S.
europepmc +4 more sources
Design and Optimization of a Neuro-Fuzzy System for the Control of an Electromechanical Plant
Applied Sciences, 2022 One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary information in their structure as well as being able to establish an initial configuration to carry out the training.
Helbert Espitia +2 more
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Using an adaptive fuzzy-logic system to optimize the performances and the reduction of chattering phenomenon in the control of induction motor [PDF]
Serbian Journal of Electrical Engineering, 2009 Neural networks and fuzzy inference systems are becoming well recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance.
Barazane Linda +3 more
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Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]
Serbian Journal of Electrical Engineering, 2007 This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed +2 more
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Neuro-fuzzy modeling and control [PDF]
Proceedings of the IEEE, 1995 Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models.
J.-S.R. Jang, null Chuen-Tsai Sun
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Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network [PDF]
Engineering and Technology Journal, 2015 Modern power systems are complex and non-linear and their operating conditions can vary over a wide range, and since neuro - fuzzy networkcan be used as intelligent controllers to control non-linear dynamic systems through learning, which can easily ...
Abdulrahim Thiab Humod +1 more
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Jurnal Elkomika, 2022 ABSTRAK Suatu Motor induksi tiga fasa merupakan alat penggerak listrik yang banyak digunakan di industry. Sistem yang akan dikembangkan dalam penelitian ini salah satunya adalah pengendalian kecepatan motor induksi tiga fasa dengan pemodelan system ...
KADEK REDA SETIAWAN SUDA +4 more
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Energies, 2023 This paper compares the performance of different control techniques applied to a high-performance brushless DC (BLDC) motor. The first controller is a classical proportional integral (PI) controller. In contrast, the second one is based on adaptive neuro-
Abdessamad Intidam +6 more
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Control of a MIMO Coupled Plant Using a Neuro-Fuzzy Adaptive System Based on Boolean Relations
IEEE Access, 2021 This document describes the implementation of a neuro-fuzzy adaptive system MIMO (Multiple Input Multiple Output), using two neuro-fuzzy MIMO systems: one for control and the other for identifying the plant.
Helbert Espitia +2 more
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