减少顺序分布式未知输入观察器用于状态估计和未知输入重建
Shuqing Tang1, Zongjun Zhu2, Xufeng Ling3
1Shanghai Fiswft Intelligent Technology Co., Ltd., Shanghai 201800, China.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
本研究引入了一种新的减少序分布式未知输入观察器 (DUIO),用于估计不确定系统中的状态,未知输入 (UI) 和测量噪声 (MN). DUIO 确保了非对称的融合,以改善系统分析和控制.
科学领域:
- 控制系统工程 控制系统工程
- 分布式观察者设计
- 信号处理 信号处理
背景情况:
- 传统的观察者设计单独处理状态估计,未知输入重建 (UIR) 和测量噪声重建 (MNR).
- 在分布式观测系统中同时进行的UIR和MNR仍未得到充分探索,存在重大研究缺口.
- 现有的方法缺乏对分布式系统的综合解决方案,其中既有未知的输入和测量噪声.
研究的目的:
- 为不确定的系统设计一个减少序的分布式未知输入观察器 (DUIO).
- 实现对状态,未知输入 (UI) 和测量噪声 (MN) 的同时估计的非对称收.
- 解决当前分布式观察者设计在处理复杂系统不确定性的局限性.
主要方法:
- 引入辅助输出来转换本地系统,消除输出中的测量噪声.
- 为转换的本地系统开发一个分布式的减少顺序观察器,以产生状态估计.
- 基于间隔观察者和状态估计的未知输入重建 (UIR) 方法的设计,确保不对称的UI估计和脱控制输入.
主要成果:
- 拟议的DUIO提供了对系统状态,未知输入和测量噪声的异常收估计.
- 该UIR组件有效地估计了实际的未知输入,并将控制输入脱.
- 模拟结果验证了开发的分布式观察者方法的有效性和优势.
结论:
- 设计的减少顺序的DUIO成功地解决了分布式系统中状态,UI和MN的同时估计.
- 该方法为不确定的系统提供了强大的解决方案,增强了复杂的网络环境中的观察者能力.
- 这项工作为分布式观察者设计提供了一种新的方法,为更先进的控制策略铺平了道路.
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