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<p>This study mainly focuses on fault-tolerant control (FTC) for strict-feedback switched systems to mitigate the effects of input quantization/state-quantized quantization and actuator faults. As the signal quantization mechanism corrupts each sensor, the exact full-state measurements are unavailability and the virtual controls in the backstepping control cannot be differentiated. To conquer the difficulties, a group of fuzzy state observers is designed to generate continuous state estimations. Then the remote adaptive fuzzy tracking control is formulated by incorporating the fuzzy logic system (FLS) into the celebrated backstepping and dynamic filtering techniques. A stability analysis proves that the output tracking error reaches a small region near zero under the admissible edge-dependent average dwell time (AED-ADT) switching rule. Finally, numerical simulation examples are presented to illustrate the validity of the proposed control tactic.</p>

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Adaptive fuzzy tracking control of switched systems with signal quantization

  • 期刊论文

  • 发表日期：

    2025年5月29日

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  • Yuehui Ji,
  • Boning Zhang,
  • Junjie Liu,
  • Yu Song,
  • Qiang Gao,
  • Zengqiang Chen

摘要

This study mainly focuses on fault-tolerant control (FTC) for strict-feedback switched systems to mitigate the effects of input quantization/state-quantized quantization and actuator faults. As the signal quantization mechanism corrupts each sensor, the exact full-state measurements are unavailability and the virtual controls in the backstepping control cannot be differentiated. To conquer the difficulties, a group of fuzzy state observers is designed to generate continuous state estimations. Then the remote adaptive fuzzy tracking control is formulated by incorporating the fuzzy logic system (FLS) into the celebrated backstepping and dynamic filtering techniques. A stability analysis proves that the output tracking error reaches a small region near zero under the admissible edge-dependent average dwell time (AED-ADT) switching rule. Finally, numerical simulation examples are presented to illustrate the validity of the proposed control tactic.