17 citations · 23 across the 15 of their papers we have counts for
18 papers
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…
Signal selection for estimation and identification in networks of dynamic systems: a graphical model approach
Donatello Materassi, Murti V. Salapaka
Network systems have become a ubiquitous modeling tool in many areas of science where nodes in a graph represent distributed processes and edges between nodes represent a form of d…
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…