Development of a Method for Automatic Generation and Optimization of Fuzzy Controller Parameters Based on an Adaptive Genetic Algorithm

Autor:	Viktor Soloviev, Andrey Vladimirovich Kovalev, Vladimir V. Ignatyev, Denis A. Beloglazov
Rok vydání:	2021
Předmět:	Development (topology) Knowledge base business.industry Computer science Control theory Genetic algorithm Control engineering Distinctive feature Industrial Facility business Fuzzy logic
Zdroj:	Artificial Intelligence in Intelligent Systems ISBN: 9783030774448
DOI:	10.1007/978-3-030-77445-5_38
Popis:	The article proposes a method for automatic synthesis of a fuzzy controller and optimization of its parameters based on an adaptive genetic algorithm with combined operators of random changes. A distinctive feature of the proposed method is the method of forming a knowledge base of a fuzzy controller based on statistical information about the operation of a real industrial facility.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2b91a55dbc3dc92bd73721214a696056 https://doi.org/10.1007/978-3-030-77445-5_38 Zobrazit plný text záznamu