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：

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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。