Dissipative filter design for Takagi-Sugeno fuzzy neural networks

Kyu Chul Lee, Hyun Duk Choi, Dae Ki Kim, Choon Ki Ahn, Myo Taeg Lim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    This paper proposes a novel dissipative filter for Takagi-Sugeno fuzzy Hopfield neural networks with time varying delay. This filter guarantees (Q, S, R)-a-dissipativity and is regarded as a generalization of some performance indices, such as H performance, passivity, and mixed H/passivity. The linear matrix inequality (LMI) approach solving convex problem is used to obtain a gain matrix satisfying both (Q, S, R)-a-dissipativity and asymptotic stability of the error system. Some simulations are dealt with to validate the performance of the proposed method.

    Original languageEnglish
    Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages181-185
    Number of pages5
    ISBN (Electronic)9788993215090
    DOIs
    Publication statusPublished - 2015 Dec 23
    Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
    Duration: 2015 Oct 132015 Oct 16

    Publication series

    NameICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings

    Other

    Other15th International Conference on Control, Automation and Systems, ICCAS 2015
    Country/TerritoryKorea, Republic of
    CityBusan
    Period15/10/1315/10/16

    Bibliographical note

    Publisher Copyright:
    © 2015 Institute of Control, Robotics and Systems - ICROS.

    Keywords

    • Dissipative filtering
    • Linear matrix inequality(LMI)
    • Takagi-Sugeno fuzzy Hopfield neural network

    ASJC Scopus subject areas

    • Control and Systems Engineering

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