控制理论(社会学)
内部模型
观察员(物理)
扰动(地质)
非线性系统
滤波器(信号处理)
控制工程
计算机科学
理论(学习稳定性)
期限(时间)
α-β滤光片
工程类
卡尔曼滤波器
控制(管理)
人工智能
扩展卡尔曼滤波器
移动视界估计
古生物学
物理
量子力学
机器学习
计算机视觉
生物
作者
Andreu Cecilia,Daniele Astolfi,Michelangelo Bin,Ramon Costa‐Castelló
出处
期刊:Automatica
[Elsevier]
日期:2024-04-01
卷期号:162: 111529-111529
标识
DOI:10.1016/j.automatica.2024.111529
摘要
This work proposes a redesign method for nonlinear observers to reduce the effect of a particular class of output disturbances. Specifically, it is considered a disturbance composed of a term generated from a known system and an unstructured term. The proposed approach does not require modifying the original observer and is based on adding a simple filter that includes an internal model of the disturbance generator. Sufficient conditions for stability of the proposed filter-observer architecture are given. Moreover, the approach is validated through numerical simulations.
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