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A multi-observer based estimation framework for nonlinear systems under sensor attacks
Automatica ( IF 4.8 ) Pub Date : 2020-06-13 , DOI: 10.1016/j.automatica.2020.109043
Tianci Yang , Carlos Murguia , Margreta Kuijper , Dragan Nešić

For general discrete-time nonlinear systems, we address the state estimation problem under sensor attacks. We provide a general estimation scheme, built around the idea of sensor redundancy and multi-observers, capable of reconstructing the system state in spite of sensor attacks and noise, for a large class of nonlinear plants and observers. This scheme has been proposed by others for linear systems and here we propose a unifying framework for a much larger class of nonlinear systems.



中文翻译:

基于多观察者的非线性系统在传感器攻击下的估计框架

对于一般的离散时间非线性系统,我们解决了传感器攻击下的状态估计问题。我们提供了一种基于传感器冗余和多观察者的思想的通用估计方案,该方案可以针对大量的非线性植物和观察者,尽管受到传感器攻击和噪声的干扰,却能够重构系统状态。此方案已由其他人针对线性系统提出,在这里,我们为更大类别的非线性系统提出统一框架。

更新日期:2020-06-13
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