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Development of afuzzy rule basedesign algorithmusing a geneticalgorithm and aninverted pendulum :доклад, тезисыдоклада Marushchenko NikitaStanovov Vladimir2025 год

Development of a fuzzy rule base design algorithm using a genetic algorithm and an inverted pendulum : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

База данных: Каталог библиотеки СФУ
Аннотация: This paper presents the development of a fuzzy rule base construction algorithm that leverages a genetic algorithm to optimize control parameters for complex dynamic systems. The algorithm was tested on an inverted pendulum model, a classical nonlinear control problem, to identify chromosome configurations capable of stabilizing the pendulum in an upright position. Through extensive experimentation, the program successfully discovered such chromosomes that stabilized the pendulum from a variety of initial positions, including inverted (top-down) states, by forming the needed fuzzy rules base and fuzzy input and output terms. The results demonstrate the efficiency of the proposed approach in automating the design of fuzzy logic controllers using evolutionary methods.
Год издания: 2025
Авторы: Marushchenko Nikita, Stanovov Vladimir
Источник: ITM Web of Conferences

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