10 papers
Interpolation Conditions for Instant Data Consistency with Port-Hamiltonian Structure
Martina Vanelli, Nima Monshizadeh, Julien M. Hendrickx
We develop a data-driven framework for nonlinear port-Hamiltonian (pH) systems based on interpolation conditions to characterize consistency between observed data and structured dy…
Preserving Topology Privacy of Network Systems by Feedback: Conditions and Distributed Design
Yushan Li, Jiabao He, Julien M. Hendrickx +1
This paper develops a feedback-based method to preserve the topology privacy of consensus protocols in network systems. The key idea is to intentionally violate topology identifiab…
Data Poisoning Attacks Can Systematically Destabilize Data-Driven Control Synthesis
Vijayanand Digge, Martina Vanelli, Ahmad W. Al-Dabbagh +2
Data-driven control has emerged as a powerful paradigm for synthesizing controllers directly from data, bypassing explicit model identification. However, this reliance on data intr…
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…
Several Performance Bounds on Decentralized Online Optimization are Highly Conservative and Potentially Misleading
Erwan Meunier, Julien M. Hendrickx
We analyze Decentralized Online Optimization algorithms using the Performance Estimation Problem approach which allows, to automatically compute exact worst-case performance of opt…
Interpolation Conditions for Data Consistency and Prediction in Noisy Linear Systems
Martina Vanelli, Nima Monshizadeh, Julien M. Hendrickx
We develop an interpolation-based framework for noisy linear systems with unknown system matrix with bounded norm (implying bounded growth or non-increasing energy), and bounded pr…
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…
Local Identifiability of Networks with Nonlinear Node Dynamics
Martina Vanelli, Julien M. Hendrickx
We study the identifiability of nonlinear network systems with partial excitation and partial measurement when the network dynamics is linear on the edges and nonlinear on the node…
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…
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…