文章基本信息

标题：Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach ⁎
本地全文：下载
作者：Shengling Shi ; Xiaodong Cheng ; Paul M.J. Van den Hof 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：40-45
DOI：10.1016/j.ifacol.2020.12.042
语种：English
出版社：Elsevier
摘要：AbstractFor identifiability of a single module in a dynamic network, excitation signals need to be allocated at particular nodes in the network. Current techniques provide analysis tools for verifying identifiability in a given situation, but hardly address the synthesis question: where to allocate the excitation signals to achieve generic identifiability. Starting from the graph topology of the considered network model set, a new analytic result for generic identifiability of a single module is derived based on the concept of disconnecting sets. For the situation that all node signals are measured, the vertices in a particular disconnecting set provide the potential locations to allocate the excitation signals. Synthesis approaches are then developed to allocate excitation signals to guarantee generic identifiability.
关键词：KeywordsSystem identificationidentifiabilitydynamic networksgraph theory