具有噪声状态测量的线性系统的在线代数扰动估计方法

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2025-01-01 Epub Date: 2024-12-09 DOI:10.1016/j.jfranklin.2024.107442
Yan-Qiao Wei , Da-Yan Liu , Chang-Chun Hua , Cong Zhang
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引用次数: 0

摘要

本文旨在设计一种具有噪声状态测量的线性系统的在线代数扰动估计方法。其目的是为自扰控制系统提供一种快速收敛且鲁棒的在线干扰估计方法。通过构造调制函数向量,导出了系统扰动的状态代数积分公式。在一个离散的噪声环境中,所提出的公式可以相对于滑动积分窗口在线数值执行。同时,根据所提出的公式对误差效应进行了分析。最后通过仿真实例分别对开环系统和闭环系统进行了仿真,验证了该方法的有效性。
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Online algebraic disturbance estimation method for linear systems with noisy state measurements
This paper aims to design an online algebraic disturbance estimation method for linear systems with noisy state measurements. The motivation is to provide a fast-convergent and robust online disturbance estimation method for active anti-disturbance control systems. By constructing a modulating functions vector, a state-based algebraic integral formula is derived for the disturbance of the studied system. Within a discrete noisy environment, the proposed formula can be numerically executed online with respect to a sliding integration window. Meanwhile, the analysis of error effects is also given based on the proposed formula. Finally, simulation examples are provided to illustrate the efficiency of the proposed method for an open-loop system and a closed-loop system, respectively.
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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