A delayed Takagi–Sugeno fuzzy control approach with uncertain measurements using an extended sliding mode observer

Muhammad Shamrooz Aslam, Prayag Tiwari, Hari Mohan Pandey, Shahab S. Band, Hesham El Sayed

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)

    Abstract

    In this study, a sliding mode observer (SMO) is implemented on a T–S fuzzy system with multiple time–varying delays over continuous time. Because state data may not be fully available in practice, state observers are used to estimate state information. A system based on observers is implemented with non–parallel distribution compensation (N-PDC). Moreover, the concept of dissipative control provides a framework for analyzing the performance of H, L2−L, and dissipativeness. In order to design two sliding surfaces using the SMO gain matrix, first two integral–type sliding surfaces must be constructed. Then, we define a few additional parameters using fuzzy Lyapunov stability and SMO theory, resulting in asymptotically stable closed–loop performances. On the basis of the new error system, convex optimization is used to generate the sliding mode controller and the gained weight matrices. Following is an example of the power system (ship electric propulsion) to demonstrate the potential scheme.

    Original languageEnglish
    Article number119204
    JournalInformation Sciences
    Volume643
    DOIs
    Publication statusPublished - Sept 2023

    Keywords

    • Dissipative analysis
    • Fuzzy Lyapunov–Krasovskii functions
    • Sliding mode control
    • Time–delay system

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Theoretical Computer Science
    • Computer Science Applications
    • Information Systems and Management
    • Artificial Intelligence

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