Method of knowledge extraction from physical teaching signal: design knowledge base for fuzzy controllers
Автор: Reshetnikov Andrey, Ulyanov Sergey
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 1, 2013 года.
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The article describes methods of creating the knowledge base with using models of intelligent control system on the «cart – pole» Benchmark. The paper shown comparison of control systems based on PID and fuzzy controllers based software tools as «Soft Computing Optimizer». To create a knowledge base of intelligent control two sources of teaching signal are used: the real control object and the verified mathematical model. This paper describes a method of verification of the mathematical model with using a genetic algorithm.
Soft computing optimizer, genetic algorithm, optimizer of knowledge base, intelligent control, verification of the control object
Короткий адрес: https://sciup.org/14123225
IDR: 14123225
