Robust design technology of knowledge bases: comparison of fuzzy controllers for different types by using soft-computing optimizer
Автор: Ulyanov Sergey, Nefedov Nikita
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 1, 2015 года.
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The article compares two types of intelligent control - control with a hybrid fuzzy PID-controller and fuzzy sliding type of control. The comparison of control quality by simulation of dynamic unstable control object «cart-pole» using soft-computing optimizer based on soft computing is showed.
Intelligent control systems, robustness, soft computing, knowledge base, sliding mode control, fuzzy logic
Короткий адрес: https://sciup.org/14122621
IDR: 14122621
Статья научная
