17 citations · 23 across the 15 of their papers we have counts for
6 papers · 1 filter
Generative design of stabilizing controllers with diffusion models: the Youla approach
Matteo Cercola, Donatello Materassi, Simone Formentin
Designing controllers that simultaneously achieve strong performance and provable closed-loop stability remains a central challenge in control engineering. This work introduces a d…
eXplainable AI for data driven control: an inverse optimal control approach
Federico Porcari, Donatello Materassi, Simone Formentin
Understanding the behavior of black-box data-driven controllers is a key challenge in modern control design. In this work, we propose an eXplainable AI (XAI) methodology based on I…
Granger-faithfulness and link orientation in network reconstruction
Mihaela Dimovska, Donatello Materassi
Networked dynamic systems are often abstracted as directed graphs, where the observed system processes form the vertex set and directed edges are used to represent non-zero transfe…
An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness
Mihaela Dimovska, Donatello Materassi
Reconstructing a network of dynamic systems from observational data is an active area of research. Many approaches guarantee a consistent reconstruction under the relatively strong…
Physics Informed Topology Learning in Networks of Linear Dynamical Systems
Saurav Talukdar, Deepjyoti Deka, Harish Doddi +3
Learning influence pathways of a network of dynamically related processes from observations is of considerable importance in many disciplines. In this article, influence networks o…
Learning the Exact Topology of Undirected Consensus Networks
Saurav Talukdar, Deepjyoti Deka, Sandeep Attree +2
In this article, we present a method to learn the interaction topology of a network of agents undergoing linear consensus updates in a non invasive manner. Our approach is based on…