Results 11 to 20 of about 4,688 (196)
Energy Exploration & Exploitation, 2022 Wind energy has been developed and is widely used as a clean and renewable form of energy. Among the existing variety of wind turbines, variable-speed variable-pitch wind turbines have become popular owing to their variable output power capability.
Ya-Jun Fan, Hai-tong Xu, Zhao-Yu He
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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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IEEE Access, 2020 In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced ...
Jinping Liu +5 more
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Neuro-fuzzy control of sit-to-stand motion using head position tracking
Measurement + Control, 2020 Based on the clinical evidence that head position measured by the multisensory system contributes to motion control, this study suggests a biomechanical human-central nervous system modeling and control framework for sit-to-stand motion synthesis ...
Samina Rafique +3 more
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Mehran University Research Journal of Engineering and Technology, 2022 Controlling an uncertain mechatronic system is challenging and crucial for its automation. In this regard, several control-strategies are developed to handle such systems.
Muhammad Khurram Saleem +4 more
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Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river [PDF]
Global Journal of Environmental Science and Management, 2018 : In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve ...
G. Elkiran +3 more
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Scientific African, 2023 Purpose: Neuro-fuzzy systems aim to combine the benefits of artificial neural networks and fuzzy inference systems: a neural network can learn patterns from data and achieves high performance, whereas a fuzzy system matches inputs and outputs using ...
Hafsaa Ouifak, Ali Idri
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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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Jurnal Elkomika, 2021 ABSTRAK Kendali vektor merupakan solusi terbaik dalam kendali motor induksi untuk meningkatkan karakter dinamis dan efisiensinya. Pada penelitian ini, sebuah kendali kecepatan PID dipadukan dengan Adaptive Neuro Fuzzy Inference System (ANFIS) untuk ...
HANIF HASYIER FAKHRUDDIN +6 more
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Adaptive Neuro-Fuzzy Inference System for drought forecasting
Stochastic Environmental Research and Risk Assessment, 2008 Drought causes huge losses in agriculture and has many negative influences on natural ecosystems. In this study, the applicability of Adaptive Neuro-Fuzzy Inference System (ANFIS) for drought forecasting and quantitative value of drought indices, the Standardized Precipitation Index (SPI), is investigated.
Bacanlı, Ülker Güner +2 more
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