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Robust adaptive tracking control of uncertain systems with time-varying input delays

Author

Listed:
  • Li-Juan Liu
  • Jing Zhou
  • Changyun Wen
  • Xudong Zhao

Abstract

In this paper, the problem of robust adaptive tracking control of uncertain systems with time-varying input delays is studied. Under some mild assumptions, a robust adaptive controller is designed by using adaptive backstepping technique such that the system is globally stable and the system output can track a given reference signal. At the same time, a root mean square type of bound is obtained for the tracking error as a function of design parameters and thus can be adjusted. Finally, one numerical example is given to show the effectiveness of the proposed scheme.

Suggested Citation

  • Li-Juan Liu & Jing Zhou & Changyun Wen & Xudong Zhao, 2017. "Robust adaptive tracking control of uncertain systems with time-varying input delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(16), pages 3440-3449, December.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:16:p:3440-3449
    DOI: 10.1080/00207721.2017.1382604
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    Cited by:

    1. Byung Mo Kim & Sung Jin Yoo, 2021. "Approximation-Based Quantized State Feedback Tracking of Uncertain Input-Saturated MIMO Nonlinear Systems with Application to 2-DOF Helicopter," Mathematics, MDPI, vol. 9(9), pages 1-16, May.
    2. Mei, Keqi & Ma, Li & He, Runxin & Ding, Shihong, 2020. "Finite-time controller design of multiple integrator nonlinear systems with input saturation," Applied Mathematics and Computation, Elsevier, vol. 372(C).
    3. Juntao Fei & Zhilin Feng, 2019. "Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope," Complexity, Hindawi, vol. 2019, pages 1-13, February.

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