Results 11 to 20 of about 47,257 (241)
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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Neuro fuzzy control of the FES assisted freely swinging leg of paraplegic subjects [PDF]
, 1996 The authors designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three `swing phase objectives', characteristic of natural human gait.
Spek, Jaap H. van der +3 more
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Energies, 2020 In this paper, energy management and control of a microgrid is developed through supervisor and adaptive neuro-fuzzy wavelet-based control controllers considering real weather patterns and load variations. The supervisory control is applied to the entire
Tariq Kamal +4 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 dual-mode control of travelling-wave ultrasonic motors [PDF]
, 1999 With their significant advantages over traditional electromagnetic motors, ultrasonic motors (USMs) are becoming attractive. This paper presents a neuro-fuzzy dual-mode controller, combining the knowledge-based fuzzy logic and the learning-incorporated ...
Chan, CC, Chau, KT, Chung, SW
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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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Optimization of a fuzzy logic controller for MR dampers using an adaptive neuro-fuzzy procedure [PDF]
, 2016 Intelligent and adaptive control systems are naturally suitable to deal with dynamic uncertain systems with non-smooth nonlinearities; they constitute an important advantage over conventional control approaches.
Barros, Rui, Braz-César, M.T.
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Using of artificial intelligence for improving of lautering process productivity (part 1).
Kvasný průmysl, 2000 For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities.
F. MIROLL +4 more
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Robot Control by Using Intelligent Systems Considering Complete Constraints [PDF]
International Journal of Industrial Engineering and Production Research, 2021 In this paper, a multivariable control of a two-link robot is performed by fuzzy-sliding mode control. Robots on the one hand have complex dynamics due to nonlinearity, uncertainty and indeterminacy resulting from friction and other factors.
Louiza Dehyadegari, Somayeh Khajehasani
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Model Reference based Neuro-Fuzzy Control of DC Servo Motor [PDF]
Kirkuk Journal of Science, 2014 This paper presents a Neuro-Fuzzy approach for the D.C. servo motor, within the Model Reference Adaptive Control (MRAC) framework. To tackle the plant parameters variation, an adaptive algorithm is derived to tune a designed fuzzy controller such that ...
Zaki Majeed Abdullah
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