activity
20242026
collaborators

7 papers

math.OC2026

Nonlinear Network Identifiability with Full Excitations

Renato Vizuete, Julien M. Hendrickx

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 linea…

math.OC2026

Identification of Nonlinear Acyclic Networks in Continuous Time from Nonzero Initial Conditions and Full Excitations

Ramachandran Anantharaman, Renato Vizuete, Julien M. Hendrickx +1

We propose a method to identify nonlinear acyclic networks in continuous time when the dynamics are located on the edges and all the nodes are excited. We show that it is necessary…

math.OC2025

Path-Based Conditions for the Identifiability of Non-additive Nonlinear Networks with Full Measurements

Renato Vizuete, Julien M. Hendrickx

We analyze the identifiability of nonlinear networks with non necessarily additive node dynamics, where the influence of in-neighbors is represented by a multivariate nonlinear fun…

eess.SY2025

Consensus on Open Multi-Agent Systems Over Graphs Sampled from Graphons

Renato Vizuete, Julien M. Hendrickx

We show how graphons can be used to model and analyze open multi-agent systems, which are multi-agent systems subject to arrivals and departures, in the specific case of linear con…

math.OC2024

Nonlinear identifiability of directed acyclic graphs with partial excitation and measurement

Renato Vizuete, Julien M. Hendrickx

We analyze the identifiability of directed acyclic graphs in the case of partial excitation and measurement. We consider an additive model where the nonlinear functions located in…

math.OC2024

Corrections to and improvements on results from "The Laplacian spectrum of large graphs sampled from graphons"

Federica Garin, Paolo Frasca, Renato Vizuete

In this note we correct the proof of Proposition 4 in our paper "The Laplacian Spectrum of Large Graphs Sampled from Graphons" (arXiv:2004.09177) and we improve several results the…