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A Novel MRAC Scheme for Output Tracking

Author

Listed:
  • Tingting Tian

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Xiaorong Hou

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Fang Yan

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

Abstract

This paper puts forward a novel output feedback model reference adaptive control (MRAC) scheme for solving an adaptive output tracking problem. The proposed control scheme only needs a scalar function to be updated online, which decreases the system adaptation complexity, compared to the existing MRAC schemes. Furthermore, the closed-loop signal boundedness and asymptotic output tracking are guaranteed with the proposed MRAC scheme. A simulation study is carried out to verify the effectiveness of the established approach.

Suggested Citation

  • Tingting Tian & Xiaorong Hou & Fang Yan, 2022. "A Novel MRAC Scheme for Output Tracking," Mathematics, MDPI, vol. 10(14), pages 1-11, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:14:p:2384-:d:857472
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    References listed on IDEAS

    as
    1. Jun-Juh Yan & Hang-Hong Kuo, 2022. "Adaptive Memoryless Sliding Mode Control of Uncertain Rössler Systems with Unknown Time Delays," Mathematics, MDPI, vol. 10(11), pages 1-13, May.
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