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Bibliographic Details
Main Authors: Cheng, Xiaodong, Shi, Shengling, Lestas, Ioannis, Hof, Paul M. J. Van den
Format: Preprint
Published: 2022
Subjects:
Online Access:https://arxiv.org/abs/2201.07548
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author Cheng, Xiaodong
Shi, Shengling
Lestas, Ioannis
Hof, Paul M. J. Van den
author_facet Cheng, Xiaodong
Shi, Shengling
Lestas, Ioannis
Hof, Paul M. J. Van den
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2201_07548
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Identifiability in Dynamic Acyclic Networks with Partial Excitations and Measurements
Cheng, Xiaodong
Shi, Shengling
Lestas, Ioannis
Hof, Paul M. J. Van den
Optimization and Control
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.
title Identifiability in Dynamic Acyclic Networks with Partial Excitations and Measurements
topic Optimization and Control
url https://arxiv.org/abs/2201.07548