Development of ANFIS Control System for Seismic Response Reduction using Multi-Objective Genetic Algorithm [PDF]
, 2016 Adaptive neuro fuzzy inference system (ANFIS) and Genetic algorithm (GA) was proposed in this study to reduce dynamic responses of a seismically excited building.
F, Q. M. (Qureshi) +2 more
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A combined neuro fuzzy-cellular automata based material model for finite element simulation of plane strain compression [PDF]
, 2007 This paper presents a modelling strategy that combines Neuro-Fuzzy methods to define the material model with Cellular Automata representations of the microstructure, all embedded within a Finite Element solver that can deal with the large deformations of
Abbod, MF +5 more
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Design of bang-bang controller based on a fuzzy-neuro approach [PDF]
, 1996 A fuzzy-neuro approach for the design of bang-bang controller is presented in this paper. The approach has been used with success for the time optimal bang-bang control of a heating system.
Mesbah, Samy A, Pang, Grantham KH
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Energy performance forecasting of residential buildings using fuzzy approaches [PDF]
, 2020 The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact.
Múgica Álvarez, Francisco +1 more
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Neuro-Fuzzy Volume Control for Quarter Car Air-Spring Suspension System
IEEE Access, 2021 One type of vehicle suspension system is the air suspension system. One of the important functions of the suspension system is to reduce vibration transmitted to the vehicle body from road unevenness.
Mohamed Essam Shalabi +3 more
doaj +1 more source
Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller [PDF]
, 2013 In this paper, an intelligent control approach based on neuro-fuzzy systems performance is presented, with the objective of counteracting the vibrations that affect the low-cost vision platform onboard an unmanned aerial system of rotating nature.
G Nicolás Marichal +12 more
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International Islamic University Malaysia Engineering Journal, 2016 In this paper, a neuro-fuzzy fast terminal sliding mode control method is proposed for controlling a class of nonlinear systems with bounded uncertainties and disturbances. In this method, a nonlinear terminal sliding surface is firstly designed.
Seied Yasser Nikoo +3 more
doaj +1 more source
A Bee Colony Neuro-Fuzzy Controller to Improve Well Premixed Combustion
Journal of Mechanical Engineering, 2023 In order to actively control combustion reaction, this study proposes an adaptive neuro-fuzzy (ANFIS) control scheme of interaction between premixed combustion reaction and acoustic flame perturbation where the flame pressure movement will be considered ...
Debbah Abdesselam +2 more
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Reactive Power Control of Thyristor Controlled Reactor using Neuro - Fuzzy Controller
Gazi Üniversitesi Fen Bilimleri Dergisi, 2019 In this study, the reactive power of thyristor controlled reactor (TCR) that is fundamental element of flexible ac transmission system devices is controlled using neuro-fuzzy controller.
Ö. Fatih KEÇECİOĞLU, Erdal KILIÇ
doaj +1 more source
Fuzzy-neural control with application to a heating system [PDF]
, 1999 In this paper, a fuzzy-neuro approach will be presented for the design of bang-bang control system. A description of the architecture will be given. The multi-layered structure of the controller is essentially a neural network which resembles a fuzzy ...
Mesbah, Samy, Pang, Grantham
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