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Prescribed-time adaptive output feedback tracking control for nonlinear systems with quantized input

Author

Listed:
  • Gao, Yu
  • Sun, Wei
  • Su, Shun-Feng

Abstract

This study concentrates on the prescribed-time output feedback tracking problem for nonlinear systems with unknown control gains and quantized input. A modified observer with the first-order scale function handles the unmeasurable problem of states while achieving accurate observation in the prescribed time. A simple controller is constructed by a new function transformation in which the computation burden is greatly reduced. The resulting controller not only drives that tracking error converges to zero but also ensures that all signals in the closed-loop system are bounded. Finally, the effectiveness of the control scheme is demonstrated by a numerical simulation and a practical simulation.

Suggested Citation

  • Gao, Yu & Sun, Wei & Su, Shun-Feng, 2024. "Prescribed-time adaptive output feedback tracking control for nonlinear systems with quantized input," Applied Mathematics and Computation, Elsevier, vol. 463(C).
    • Handle: RePEc:eee:apmaco:v:463:y:2024:i:c:s0096300323005398
    DOI: 10.1016/j.amc.2023.128370
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    References listed on IDEAS

    as
    1. Xu, Bo & Liang, Yanjun & Li, Yuan-Xin & Hou, Zhongsheng, 2022. "Adaptive command filtered fixed-time control of nonlinear systems with input quantization," Applied Mathematics and Computation, Elsevier, vol. 427(C).
    2. Li, Min & Guo, Jian & Xiang, Zhengrong, 2022. "Dynamic event-triggered control design for a class of p-normal nonlinear time-delay systems with actuator failures," Applied Mathematics and Computation, Elsevier, vol. 421(C).
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