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Adaptive Fuzzy Output Feedback Quantized Control for Uncertain Nonlinear Hysteretic Systems Using a New Feedback-Based Quantizer

机译:非线性非线性迟滞系统的自适应模糊输出反馈量化控制,采用基于反馈的新型量化器

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This paper focuses on the problem of adaptive fuzzy output feedback quantized tracking control for a class of uncertain nonlinear systems preceded by unknown actuator hysteresis. Anew feedback-based quantizer together with a new adaptive strategy is proposed to resolve the veiling of unknown actuator hysteresis and the conflicts between quantization and hysteresis. By using fuzzy logic systems, a novel output feedback control scheme is developed via backstepping technique, combining with new a output feedback control strategy to deal with the complexity of the quantized control hysteretic systems. It is proved that the proposed control scheme guarantees that the tracking error converge to a neighborhood of the origin and all the closed-loop signals in the systems are uniformly ultimately bounded. Finally, simulations are conducted to illustrate the effectiveness of the proposed methodology.
机译:本文关注于一类不确定的非线性系统,其执行器滞后未知的自适应模糊输出反馈量化跟踪控制问题。提出了一种新的基于反馈的量化器以及一种新的自适应策略,以解决未知执行机构磁滞现象以及量化与磁滞现象之间冲突的问题。通过使用模糊逻辑系统,通过反推技术开发了一种新颖的输出反馈控制方案,并结合了一种新的输出反馈控制策略来应对量化控制滞后系统的复杂性。实践证明,所提出的控制方案可以保证跟踪误差收敛到原点附近,并且系统中的所有闭环信号都统一有界。最后,进行仿真以说明所提出方法的有效性。

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