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Excitation and Measurement Patterns for the Identifiability of Directed Acyclic Graphs

2022/03/30 by Eduardo Mapurunga, Mapurunga, Eduardo, M. Gevers +3
Biochemistry, Genetics and Molecular Biology · Neuroscience · #Dynamical Systems (math.DS) #FOS: Electrical engineering #FOS: Mathematics #Gene Regulatory Network Analysis #Neural dynamics and brain function #Photoreceptor and optogenetics research #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2203.16699

openalex publication_date 2022/03/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper deals with the design of Excitation and Measurement Patterns (EMP) for the identification of a class of dynamical networks whose topology has the structure of a Directed Acyclic Graph (DAG). In addition to the by now well known condition that the identifiabiltiy of any dynamical network requires that the sources be excited, the sinks be measured, and all other nodes be either excited or measured, we show that for DAGs two other types of nodes have special excitation and measurement requirements. Armed with this result, we propose a systematic procedure for the design of EMPs that guarantee identifiability of a network with DAG topology.

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