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math.OC2025
ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
Guido Carnevale, Nicola Bastianello, Giuseppe Notarstefano +1
In this paper, we propose a novel distributed algorithm for consensus optimization over networks and a robust extension tailored to deal with asynchronous agents and packet losses.…
math.OC2024
Extremum Seeking Tracking for Derivative-free Distributed Optimization
Nicola Mimmo, Guido Carnevale, Andrea Testa +1
In this paper, we deal with a network of agents that want to cooperatively minimize the sum of local cost functions depending on a common decision variable. We consider the challen…
math.OC2024
Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems
Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2
This paper develops a data-driven stabilization method for continuous-time linear time-invariant systems with theoretical guarantees and no need for signal derivatives. The framewo…