Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Conference on Information Technologies, InfoTech 2019; Sts. Constantine and Elena; Sts. Constantine and Elena
Год издания: 2019
Ключевые слова: fuzzy control, genetic algorithm, parameter adaptation, Rotary inverted pendulum
Аннотация: In this paper an adaptive genetic algorithm for fuzzy controller design is proposed. The problem of rotary inverted pendulum stabilization and swing-up sequence is considered. The genetic algorithm is used to determine the structure of the fuzzy rule base, which is then used to control the pendulum. The experiments on a model show that the success-history adaptive genetic algorithm is capable of automatic search for an optimal rule base with no prior expert knowledge about the system dynamics.
Издание
Журнал: 2019 International Conference on Information Technologies, InfoTech 2019 - Proceedings
Номера страниц: 8860874
Издатель: Institute of Electrical and Electronics Engineers Inc.
Персоны
- Stanovov V. (Institute of Informatics and Telecommunication,Reshetnev Siberian State University of Science and Technology)
- Akhmedova S. (Institute of Informatics and Telecommunication,Reshetnev Siberian State University of Science and Technology)
- Semenkin E. (Institute of Informatics and Telecommunication,Reshetnev Siberian State University of Science and Technology)
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