Fault-Tolerant Fuzzy Observer-Based Fixed-Time Tracking Control for Nonlinear Switched Systems

  • Di Cui
  • , Choon Ki Ahn*
  • , Zhengrong Xiang*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This article focuses on developing an adaptive output feedback fault-tolerant fixed-time tracking control strategy for a class of switched nonlinear systems with nonaffine faults. To approximate the unmeasurable states, a mode-dependent state switched fuzzy observer is generated using fuzzy logic systems and a Butterworth low-pass filter. Next, an adaptive fixed-time tracking control strategy is developed by combining dynamic surface technology with the backstepping method. An improved mode-dependent average dwell-time switching rule is also introduced to ensure the stability of switched nonlinear systems with unstable subsystems. A stability analysis proves the effectiveness of the proposed control scheme in stabilizing the switched nonlinear system under mode-dependent average dwell-time switching, ensuring that the tracking error reaches the residual set within a derived settling time. Finally, a switched resistor-inductor-capacitor circuit example is provided to demonstrate the validity of the proposed strategy.

    Original languageEnglish
    Pages (from-to)4410-4420
    Number of pages11
    JournalIEEE Transactions on Fuzzy Systems
    Volume31
    Issue number12
    DOIs
    Publication statusPublished - 2023 Dec 1

    Bibliographical note

    Publisher Copyright:
    © 1993-2012 IEEE.

    Keywords

    • Fault-tolerant control
    • fixed-time control (FTC)
    • fuzzy logic systems (FLSs)
    • state observer
    • switched nonlinear systems

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Applied Mathematics
    • Control and Systems Engineering
    • Computational Theory and Mathematics

    Fingerprint

    Dive into the research topics of 'Fault-Tolerant Fuzzy Observer-Based Fixed-Time Tracking Control for Nonlinear Switched Systems'. Together they form a unique fingerprint.

    Cite this