A novel piecewise affine memory filtering design for T-S fuzzy affine systems in finite frequency domain

Meng Wang, Gang Feng, Jianbin Qiu

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    1 Citation (Scopus)

    Abstract

    This paper tackles the problem of piecewise affine (PWA) memory filtering design for discrete-time uncertain T-S fuzzy affine systems in finite frequency domain. It is assumed that the frequency of the disturbances is in a finite frequency domain. The objective is to design an admissible filter using both current and past output measurements of the system to guarantee the asymptotic stability of the filtering error system with a given finite frequency H performance index. Based on piecewise fuzzy Lyapunov functions, a new sufficient condition for finite frequency H filtering performance analysis is first derived, and then, the PWA memory filter synthesis is obtained. Finally, simulation studies are given to show the advantages and effectiveness of the proposed approach.
    Original languageEnglish
    Title of host publication8th International Conference on Information Science and Technology, ICIST 2018
    PublisherIEEE
    Pages70-77
    ISBN (Electronic)9781538637821
    ISBN (Print)9781538637838
    DOIs
    Publication statusPublished - Jul 2018
    Event8th International Conference on Information Science and Technology (ICIST 2018) - Cordoba, Granada, and Seville, Spain
    Duration: 30 Jun 20186 Jul 2018

    Conference

    Conference8th International Conference on Information Science and Technology (ICIST 2018)
    Abbreviated titleICIST 2018
    PlaceSpain
    CityCordoba, Granada, and Seville
    Period30/06/186/07/18

    Research Keywords

    • finite frequency filtering
    • memory filtering
    • piecewise affine filters
    • piecewise fuzzy Lyapunov functions
    • Takagi-Sugeno (T-S) fuzzy affine systems

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