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- W3181932364 abstract "The applied development of sensorless control systems can be implemented using various mathematical approaches. When the options for the traditional synthesis of observers are not satisfactory for control purposes, other methods are used, including neural networks and neuro-fuzzy logic. The article discusses the use of a neural network approach with predictive control. The process of synthesis and training of a neural network observer of speed is described in detail, studies of the stability of the resulting object in various modes are carried out. The possibilities of the applied implementation of the obtained sensorless control system are also considered. The Matlab Simulink package is used as a software environment." @default.
- W3181932364 created "2021-07-19" @default.
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- W3181932364 date "2021-05-24" @default.
- W3181932364 modified "2023-09-24" @default.
- W3181932364 title "Synthesis of a neuroregulator with predictive control of the electric drive of the actuators of technological units of metallurgical production" @default.
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- W3181932364 doi "https://doi.org/10.1109/aced50605.2021.9462259" @default.
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