The reliably stable neural network controllers' synthesis with the transient process parameters optimization

The reliably stable neural network controllers' synthesis with the transient process parameters optimization

The subject of this paper is to develop a method for synthesizing stable neural network controllers with optimization of transient process parameters. The goal is to develop a method for synthesizing a neural network controller for control systems that guarantees the closed-loop system stability thr...

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Bibliographic Details
Main Authors: Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2024-11-01
Series:Радіоелектронні і комп'ютерні системи
Subjects:
optimization
controller
neural network
lyapunov function
mixed integer programming
Online Access:http://nti.khai.edu/ojs/index.php/reks/article/view/2659
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http://nti.khai.edu/ojs/index.php/reks/article/view/2659

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