Nonlinear Network Identifiability With Full Excitations

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Authors: Renato Vizuete, Julien M. Hendrickx
Cited by: 0

Abstract

We derive conditions for the identifiability of nonlinear networks characterized by additive dynamics at the level of the edges when all the nodes are excited. In contrast to linear systems, we show that the measurement of all sinks is necessary and sufficient for the identifiability of directed acyclic graphs, under the assumption that dynamics are described by twice continuously differentiable functions without constant terms (i.e., $f(0)=0$). But if constant terms are present, then the identifiability is impossible as soon as one node has more than one in-neighbor. In the case of general digraphs that may contain cycles, we consider additively separable functions for the analysis of the identifiability, and we show that the measurement of one node of all the sinks of the condensation digraph is necessary and sufficient. Several examples are added to illustrate the results.

Fields of Study & Subjects

Fault Detection and Control Systems Neural Networks and Applications

Publication details

Journal / source
IEEE Transactions on Automatic Control
Pages
1–15
Publication date
1 January 2026
Language
EN