基于事件触发观测器的量化反馈控制

Lun Wang, Y. Fan, Yang Zhang, C. Song
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摘要

本文提出了一种基于事件触发观测器的量化反馈控制方法。首先,根据事件触发机制和观测器的特点,提出了一种事件触发观测器来估计非测量状态;接下来,我们引入量化器和控制器分别对数据进行量化和构建闭环系统。在该框架中,除了观测器之外,量化器和控制器只在事件触发的采样时刻更新,从而减少了计算量和采样频率。此外,给出了在事件触发策略下闭环系统以及观测器误差系统和量化误差系统渐近稳定的条件,即线性矩阵不等式。最后,给出了仿真实例来说明所提出的方法。
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Quantized feedback control based on event-triggered observer
In this paper, we propose a quantized feedback control approach based on event-triggered observer. First, according to the characteristics of event-triggering mechanism and observer, an event-triggered observer is put forward to estimate the unmeasured states. Next, we introduce quantizer and controller to quantify data and construct closed-loop system respectively. In this framework, besides the observer, quantizer and controller are only updated at the event-triggered sampling instants so that it can reduce the computational effort and sampling frequency. Moreover, the condition in terms of linear matrix inequalities is provided to ensure the closed-loop system as well as the observer error system and quantization error system asymptotic stability under the event-triggered strategy. Finally, the simulation example is given to illustrate the proposed method.
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