论文标题
具有部分激发和测量的动态无环网络的可识别性
Identifiability in Dynamic Acyclic Networks with Partial Excitations and Measurements
论文作者
论文摘要
本文介绍了动态网络，其中顶点信号之间的因果关系由线性时间传输函数（模块）表示。考虑到仅测量其顶点的子集并激发了一个子集的环网络，我们探索了所有模块在测量数据的基础上都可以识别的条件。论文中介绍了两个足够的条件，其中第一个条件涉及需要为每个顶点执行的可识别性分析，而第二个条件是基于Tree/Antie Tree覆盖的概念，是由图形合成方法造成的，以分配执行器和传感器在acyclic网络中分配Acyclic网络以实现通用性可识别性。
This paper deals with dynamic networks in which the causality relations between the vertex signals are represented by linear time-invariant transfer functions (modules). Considering an acyclic network where only a subset of its vertices are measured and a subset of the vertices are excited, we explore conditions under which all the modules are identifiable on the basis of measurement data. Two sufficient conditions are presented in the paper, where the first condition concerns an identifiability analysis that needs to be performed for each vertex, while the second condition, based on the concept of tree/anti-tree covering, results from a graphical synthesis approach to allocate actuators and sensors in an acyclic network for achieving generic identifiability.
