8 papers
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…
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…
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…
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…