collaborators

6 papers

eess.SY2026

Free Parametrization of L_2-Bounded Structured State-Space Controllers for Nonlinear Control with Stability Guarantees

Muhammad Zakwan, Leonardo Massai, Efe C. Balta +1

Designing stabilizing control policies for nonlinear systems while optimizing complex objectives remains a formidable challenge. Neural networks (NNs), despite their expressive pow…

eess.SY2026

L2RU: a Structured State Space Model with prescribed L2-bound

Leonardo Massai, Muhammad Zakwan, Giancarlo Ferrari-Trecate

Structured state-space models (SSMs) have recently emerged as a powerful architecture at the intersection of machine learning and control, featuring layers composed of discrete-tim…

cs.GT2026

Equilibria in Network Constrained Markets with System Operator

Giacomo Como, Fabio Fagnani, Leonardo Massai +1

We study a networked economic system composed of producers supplying a single homogeneous good to a number of geographically separated markets and of a centralized authority, c…

eess.SY2026

Boosting the transient performance of reference tracking controllers with neural networks

Nicolas Kirsch, Leonardo Massai, Giancarlo Ferrari-Trecate

Reference tracking is a key objective in many control systems, including those characterized by complex nonlinear dynamics. In these settings, traditional control approaches can ef…

eess.SY2025

Neural Identification of Feedback-Stabilized Nonlinear Systems

Mahrokh G. Boroujeni, Laura Meroi, Leonardo Massai +2

Neural networks have demonstrated remarkable success in modeling nonlinear dynamical systems. However, identifying these systems from closed-loop experimental data remains a challe…

physics.optics2025

HfO-based platform for high-index-contrast visible/UV integrated photonics

Oscar Jaramillo, Vighnesh Natarajan, Hamim Mahmud Rivy +3

Ultraviolet and visible integrated photonics are enabling for applications in quantum information, sensing, and spectroscopy, among others. Few materials support low-loss photonics…