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Here is algorithms for the synthesis of adaptive control systems based on the neural network approach presented. The issues of choice of architectures of neural networks that produce parametric identification of the object regulation. Adaptation neural networks that reproduce the optimal parameters of implemented controllers, methods of forming training samples for their training are considered. The another question for using the theory of artificial neural networks for approximating the functional of the controller's tuning parameters are determined. Structures of synthesized neural networks of parametric identification for objects with self-alignment in an open loop ACS are proposed. Algorithms made it possible to effectively solve the problems of adaptive systems synthesis based on the neural network approach in control systems of technological processes.

  • Ссылка в интернете
  • DOI
  • Дата создание в систему UzSCI 07-12-2023
  • Количество прочтений 86
  • Дата публикации 23-10-2023
  • Язык статьиIngliz
  • Страницы111-122
English

Here is algorithms for the synthesis of adaptive control systems based on the neural network approach presented. The issues of choice of architectures of neural networks that produce parametric identification of the object regulation. Adaptation neural networks that reproduce the optimal parameters of implemented controllers, methods of forming training samples for their training are considered. The another question for using the theory of artificial neural networks for approximating the functional of the controller's tuning parameters are determined. Structures of synthesized neural networks of parametric identification for objects with self-alignment in an open loop ACS are proposed. Algorithms made it possible to effectively solve the problems of adaptive systems synthesis based on the neural network approach in control systems of technological processes.

№ Имя автора Должность Наименование организации
1 Abdishukurov S.M. student TDTU
2 Sevinov J.U. dotsent TDTU
3 Boborayimov O.K. teacher TDTU
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