Finite Quantized-Output Feedback Tracking Control of Possibly Non-Minimum Phase Linear Systems

IEEE CONTROL SYSTEMS LETTERS(2022)

引用 2|浏览4
暂无评分
摘要
This paper proposes a finite quantized-output feedback tracking control method for a general class of continuous-time linear time-invariant systems. Firstly, an analytical pole placement-based control law is constructed using a finite quantized-output signal and an external reference output signal. Then, it is proven that the proposed control law can ensure all closed-loop signals are bounded, and the output tracking error converges to a residual set of the origin exponentially. Moreover, we show that the residual set can be made arbitrarily small if the magnitude of the quantizer satisfies a specified condition. This method combines the advantages of the classical pole placement control technique and the quantized control technique. Compared with the existing tracking control methods, it not only reduces the feedback information requirement, but also has full capability to deal with unstable poles and zeros in the controlled plant for output tracking. A numerical example is presented to verify the validity and new features of the proposed method.
更多
查看译文
关键词
Control systems, Mathematical models, Feedback control, Linear systems, Quantization (signal), Stability analysis, Sensitivity, Continuous-time, finite time, output tracking, pole placement control, quantized-output feedback
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要