论文标题
不可观察的系统的可观察性
The Observability in Unobservable Systems
论文作者
论文摘要
在本文中，我们介绍了可能无法完全观察到的系统变量的可观察性概念。为了估计，我们介绍并举例说明了一个深滤波器，该滤波器是一个专门设计的，专门设计用于估算目标状态变量的情况，而无需计算整个系统的轨迹。可观察性定义是定量的，而不是是或否答案，以便可以比较不同传感器位置之间的可观察性水平。
In this paper, we introduce the concept of observability of targeted state variables for systems that may not be fully observable. For their estimation, we introduce and exemplify a deep filter, which is a neural network specifically designed for the estimation of targeted state variables without computing the trajectory of the entire system. The observability definition is quantitative rather than a yes or no answer so that one can compare the level of observability between different sensor locations.
