activity
20232026
most citedOptimization and Learning in Open Multi-Agent Systems

2 citations · 6 across the 19 of their papers we have counts for

collaborators

23 papers

cs.RO2026

Demonstration of Space Robot Teleoperation over a Lossy and Delayed Network using ATMOS

Inkyu Jang, Gregorio Marchesini, Nicola De Carli +15

We present a demonstration showcasing the Autonomy Testbed for Multi-purpose Orbiting Systems (ATMOS), a planar spacecraft-analog robot designed for hardware-in-the-loop evaluation…

eess.SY2026

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning

Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian +2

This paper proposes a safe data-driven control framework for nonlinear systems with partially known dynamics. The method ensures stability and constraint satisfaction during online…

eess.SY2026

Detectability of Subtle Anomalies in Dynamical Systems via Log-Likelihood Ratio

Alejandro Penacho Riveiros, Matthieu Barreau, Nicola Bastianello

Industrial control applications require detecting system anomalies as accurately and quickly as possible to enable prompt maintenance. In this context, it is common to consider sev…

eess.SY2026

Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes

Alejandro Penacho Riveiros, Nicola Bastianello, Matthieu Barreau

In this paper we address the problem of detecting differences or anomalies in a dynamical system, based on historical data of nominal operations. This problem encompasses quality c…

eess.SY2026

Distributed State Estimation for Discrete-Time Systems With Unknown Inputs: An Optimization Approach

Ruixuan Zhao, Guitao Yang, Nicola Bastianello +1

This paper proposes a novel Distributed Unknown Input Observer (DUIO) framework for state estimation in large-scale systems subject to local unknown inputs. We consider systems whe…

cs.LG2026

Communication-Efficient Distributed Learning with Differential Privacy

Xiaoxing Ren, Yuwen Ma, Nicola Bastianello +3

We address nonconvex learning problems over undirected networks. In particular, we focus on the challenge of designing an algorithm that is both communication-efficient and that gu…