Results 21 to 30 of about 10,818 (144)
In this paper, a fully automatic robust control strategy is proposed for control of paraplegic pedaling using functional electrical stimulation (FES). The method is based on higher-order sliding mode (HOSM) control and fuzzy logic control. In FES, the strength of muscle contraction can be altered either by varying the pulse width (PW) or by the pulse ...
Aidin, Farhoud, Abbas, Erfanian
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High Quality Steel Casting by Using Advanced Mathematical Methods
The main concept of this paper is to utilize advanced numerical modelling techniques with self-regulation algorithm in order to reach optimal casting conditions for real-time casting control.
Tomas Mauder, Josef Stetina
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This paper presents an interval type-2 fuzzy dynamic high type (IT2FDHT) control based on vector decoupling method for permanent magnet synchronous motor (PMSM) to improve the dynamic characteristics of the system. Firstly, to address the shortcomings of
Xinglong Chen +3 more
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This article presents a unique controller combining fuzzy proportional-integral (PI) and fractional-order proportional-fractional filtered derivative action (FOPDF $^ {\lambda } $ ) with the intention of improving the frequency performance of a hybrid ...
Yazeed Yasin Ghadi +4 more
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This paper presents a new fractional-order control algorithm for a doubly fed induction generator-based wind energy conversion system. Nonlinearities resulting from wind turbine dynamics, parametric uncertainties due to generator modeling, and stochastic
Tarek Aounallah +3 more
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One of the major challenges facing functional electrical stimulation (FES) cycling is the design of an automatic control system that addresses the problem of disturbance with unknown bound and time-varying behavior of the muscular system.
Ehsan Jafari, Abbas Erfanian
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In complex underwater environments, the measurement noise model of autonomous underwater vehicle(AUV) navigation system will change with many uncertainties. Besides, the statistical characteristics of noise are difficult to be obtained accurately.
ZHU Yixian; ZHOU Ling
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A Higher Order Fuzzy Logic Model with Genetic Algorithm Used to Predict the Rice Production in India
Forecasting paddy production is considered as a difficult problem in the real world due to in deterministic behavior of the nature. Specifically, rice production is forecasted for a leading year for overall planning of the crop, utilization of the agricultural resources and the rice production management.
Surjeet Kumar*, Manas Kumar Sanyal
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Water level forecasting through fuzzy logic and artificial neural network approaches [PDF]
In this study three data-driven water level forecasting models are presented and discussed. One is based on the artificial neural networks approach, while the other two are based on the Mamdani and the Takagi-Sugeno fuzzy logic approaches, respectively.
S. Alvisi +3 more
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Dynamic Level of Difficulties Using Q-Learning and Fuzzy Logic
Maintaining player engagement in serious management games is a challenge due to the repetitive nature of traditional predetermined difficulty levels.
Fardani Annisa Damastuti +5 more
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