T-S fuzzy modeling-based anti-disturbance tracking control for systems with nonlinear disturbances

Xiangxiang Fan, Yang Yi, Tianping Zhang, Weixing Zheng

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    5 Citations (Scopus)

    Abstract

    This paper investigates the anti-disturbance tracking control problem for a class of MIMO systems with unknown nonlinear disturbances. Different from those classical anti-disturbance results, the typical T-S fuzzy models are firstly considered to describe the nonlinear disturbances. The disturbance observer based on T-S exogenous systems is thus presented to estimate the nonlinear disturbances. By integrating the PI-type control algorithm with the estimation of disturbance, a composite controller based on convex optimization theory is designed to ensure the system stability and convergence of the tracking error to zero. Meanwhile, the satisfactory disturbance estimation and attenuation performance can also be guaranteed. Finally, a numerical example for flight control systems is included to illustrate the effectiveness of the theoretical results.
    Original languageEnglish
    Title of host publicationProceedings of the 34th Chinese Control Conference (CCC2015), July 28-30, 2015, Hangzhou, China
    PublisherIEEE
    Pages628-633
    Number of pages6
    ISBN (Print)9789881563897
    DOIs
    Publication statusPublished - 2015
    EventChinese Control Conference -
    Duration: 28 Jul 2015 → …

    Publication series

    Name
    ISSN (Print)1934-1768

    Conference

    ConferenceChinese Control Conference
    Period28/07/15 → …

    Keywords

    • MIMO systems
    • control theory

    Fingerprint

    Dive into the research topics of 'T-S fuzzy modeling-based anti-disturbance tracking control for systems with nonlinear disturbances'. Together they form a unique fingerprint.

    Cite this