• русский
    • English
  • English 
    • русский
    • English
    View Item 
    •   DSpace Home
    • Публикации сотрудников
    • Статьи в научных журналах (эффективный контракт)
    • View Item
    •   DSpace Home
    • Публикации сотрудников
    • Статьи в научных журналах (эффективный контракт)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Application of fuzzy logic methods to modeling of the process of controlling complex technical systems

    Thumbnail
    View/Open:
    statya_546_2.pdf (498.8 Kb)
    DOI:
    10.1088/1757-899X/560/1/012046
    URI (for links/citations):
    https://iopscience.iop.org/article/10.1088/1757-899X/560/1/012046
    http://elib.sfu-kras.ru/handle/2311/129000
    Author:
    Beckel, L. S.
    Semenenko, M. G.
    Tsarev, R. Y.
    Yamskikh, T. N.
    Knyazkov, A. N.
    Pupkov, A. N.
    Corporate Contributor:
    Институт космических и информационных технологий
    Политехнический институт
    Кафедра информатики
    Кафедра разговорного иностранного языка
    Кафедра транспорта
    Date:
    2019
    Journal Name:
    IOP Conference Series: Materials Science and Engineering
    Journal Quartile in Scopus:
    без квартиля
    Journal Quartile in Web of Science:
    без квартиля
    Bibliographic Citation:
    Beckel, L. S. Application of fuzzy logic methods to modeling of the process of controlling complex technical systems [Текст] / L. S. Beckel, M. G. Semenenko, R. Y. Tsarev, T. N. Yamskikh, A. N. Knyazkov, A. N. Pupkov // IOP Conference Series: Materials Science and Engineering. — 2019. — Т. 560 (№ 1).
    Abstract:
    In recent decades, the concept of "fuzzy" control has emerged in engineering practice, including machinery building, when a complex technical object is controlled in conditions of incomplete and / or insufficiently formalized information. Such systems are often characterized by insufficient reliability and degree of initial data formalization. One of the approaches to such objects is to use fuzzy logic methods. The first step of such processes modeling should include determination of input and output variables and their membership functions and creation of a knowledge base in the form of a set of "IF-THEN" rules. The Mathcad computing system is considered as a tool for modeling processes with fuzzy logic methods using the battery charging control process as an example. This paper presents detailed analysis of advantages and describes software implementation for the Mamdani algorithm. However the proposed approach can be used for other algorithms.
    Collections:
    • Статьи в научных журналах (эффективный контракт) [4054]
    Metadata:
    Show full item record

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     


    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV