基于鲁棒不变量集的MCV观测器分析与设计,用于克服带有异常值和噪声的观测输出

Hiroshi Okajima
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引用次数: 2

摘要

研究了一种基于鲁棒不变集分析法的MCV观测器设计方法。在前人的研究中,提出了一种带有异常值的输出信号状态观测器的设计方法。在某些控制系统中,异常值的不利影响是需要解决的重要问题之一。为了克服异常值的不利影响,我们提出了一种利用估计状态的中值和候选值来消除异常值影响的方法。本文给出了一个评价信号,并利用鲁棒不变量集分析了评价信号的最大绝对值。我们提出了一种基于带一些变量的lmi的观测器增益最小化评价信号最大绝对值的设计方法。该方法易于设计观测器增益。通过数值仿真验证了所提观测器增益设计方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and Design of MCV Observer Based on Robust Invariant Set for Overcoming Observed Outputs with Outliers and Noises
This paper dealt with a design method of MCV observer using robust invariant set analysis method. In our previous research, a design method of state observer for output signal with outliers was proposed. In some control systems, adverse effect by outliers is one of the most important topics for solving. To overcome the adverse effect by outliers, we proposed a method to disappear the effect of outliers using median and candidates of estimated state. In this paper, we give an evaluation signal, and analyze the maximum absolute value of the evaluation signal using a robust invariant set. We propose the design method of observer gains to minify the maximum absolute value of the evaluation signal based on LMIs with some variables. It is easy to design the observer gains by our method. The effectiveness of the proposed design method of observer gains is evaluated by numerical simulation.
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