Results 11 to 20 of about 47,288 (116)
Feedforward Control of Electrical Drives - Rules and Limits [PDF]
Advances in Electrical and Electronic Engineering, 2011 Nowadays, there are several application in the field of position controlled electric drives, such as high speed cutting, where traditional cascade control structures provide insufficient accuracy.
Michal Malek +2 more
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Applied Sciences, 2021 The shunt active power filter (SAPF) is a widely used tool for compensation of disturbances in three-phase electric power systems. A high number of control methods have been successfully developed, including strategies based on artificial neural networks.
Juan L. Flores-Garrido +2 more
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A repeatability study of artificial neural network predictions in flow stress model development for a magnesium alloy [PDF]
Computer Methods in Materials Science, 2021 This work is devoted to an evaluation of the capabilities of artificial neural networks (ANN) in terms of developing a flow stress model for magnesium ZE20. The learning procedure is based on experimental flow-stress data following inverse analysis.
Hubert Siewiór, Łukasz Madej
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A Review of the Artificial Neural Network Models for Water Quality Prediction
Applied Sciences, 2020 Water quality prediction plays an important role in environmental monitoring, ecosystem sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear and non-stationarity of water quality well.
Yingyi Chen +4 more
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Combined feedback–feedforward control of Ćuk CCM converter for achieving fast transient response
IET Circuits, Devices and Systems, 2022 The Ćuk converters operating in continuous conduction mode (CCM) can be preferred in applications such as microprocessor power delivery and pulsed load because these circuits have advantages of being able to step up/down, a small number of power ...
Byeongcheol Han +2 more
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Intrathyroidal feedforward and feedback network regulating thyroid hormone synthesis and secretion
Frontiers in Endocrinology, 2022 Thyroid hormones (THs), including T4 and T3, are produced and released by the thyroid gland under the stimulation of thyroid-stimulating hormone (TSH).
Li Jing, Qiang Zhang
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IEEE Open Journal of Power Electronics, 2020 The shipboard power system (SPS) is expected to be configured as a hybrid microgrid (MG) to realize redundant bus design and high penetration of renewables (REs).
Jinsong He, Xin Zhang
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Feedforward of Measurable Disturbances to Improve Multi-Input Feedback Control [PDF]
, 2021 The availability of multiple inputs (plants) can improve output performance by conveniently allocating the control bandwidth among them. Beyond that, the intervention of only the useful plants at each frequency implies the minimum control action at each ...
Rico-Azagra, Javier [0000-0002-5500-6093] +5 more
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A selective learning method to improve the generalization of multilayer feedforward neural networks. [PDF]
, 2001 Multilayer feedforward neural networks with backpropagation algorithm have been used successfully in many applications. However, the level of generalization is heavily dependent on the quality of the training data.
Galván, Inés M. +3 more
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A PID Control System of Electro-Hydraulic Servo Based on Feedforward Prediction
发电技术, 2018 A PID control system based on feedforward prediction was designed according to the thought of predictive control, in view of the existing model of electro-hydraulic servo control system..
Yinlong ZHANG +4 more
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