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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 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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Neuro- Fuzzy Statistical Process Control [PDF]
مدیریت صنعتی, 2009 Controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. One of the common approaches for process control is applying Shewhart's quality control charts.
Nezamalldin Faghih, Amir Abbas Masoumi
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Neuro-fuzzy Control of Integrating Processes [PDF]
Acta Montanistica Slovaca, 2011 Fuzzy technology is adaptive and easily applicable in different areas.Fuzzy logic provides powerful tools to capture the perceptionof natural phenomena.
Anna Vasičkaninová, Monika Bakošová
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An indirect adaptive neuro-fuzzy speed control of induction motors [PDF]
Journal of Artificial Intelligence and Data Mining, 2016 This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and ...
M. Vahedi +2 more
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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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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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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, 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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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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