Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024); Krasnoyarsk; Krasnoyarsk
Год издания: 2025
Идентификатор DOI: 10.1051/itmconf/20257204002
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 thПоказать полностьюe 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.
Журнал: ITM Web of Conferences
Номера страниц: 4002
Место издания: Krasnoyarsk