Asymptotic Output Tracking Control of A Class of Linear Systems by Finite-and-Quantized Output Feedback

Jian Guo, Yanjun Zhang, Ji-Feng Zhang
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Abstract

This paper presents a novel finite-and-quantized output feedback asymptotic tracking control method for a general class of continuous-time linear time-invariant systems. Firstly, we construct a finite quantizer with time-varying thresholds and design a pole placement control law that exclusively utilizes the finite-and-quantized output signal and an external reference signal. Then, we establish the boundedness of all closed-loop signals and prove the asymptotic convergence of the output tracking error to zero. The proposed method combines the advantages of classical pole placement control technique and finite quantization feedback technique. It not only reduces the requirement for feedback information compared with existing tracking control methods but also effectively handles unstable poles and zeros in controlled systems, thereby achieving asymptotic output tracking. Finally, we provide a representative example to validate the effectiveness and new features of our proposed method.
通过有限量化输出反馈实现一类线性系统的渐近输出跟踪控制
本文针对一般连续时间线性时变系统提出了一种新颖的有限量化输出反馈渐近跟踪控制方法。首先,我们构建了一个具有时变阈值的有限量化器,并设计了一个完全利用有限量化输出信号和外部参考信号的极点放置控制法。然后,我们确定了所有闭环信号的有界性,并证明了输出跟踪误差向零的渐近收敛性。所提出的方法结合了经典极点放置控制技术和有限量化反馈技术的优点。与现有的跟踪控制方法相比,它不仅降低了对反馈信息的要求,还能有效地处理控制系统中的不稳定极点和零点,从而实现渐近输出跟踪。最后,我们提供了一个具有代表性的例子来验证我们提出的方法的有效性和新特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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