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20062026
most citedDistributed Optimization for Smart Cyber-Physical Networks

101 citations · 466 across the 65 of their papers we have counts for

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Showing 2017 · math.OCShow all

10 papers · 2 filters

math.OC2017

A Finite-Time Cutting Plane Algorithm for Distributed Mixed Integer Linear Programming

Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano

Many problems of interest for cyber-physical network systems can be formulated as Mixed Integer Linear Programs in which the constraints are distributed among the agents. In this p…

math.OC2017★ 12 cited

Newton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks

Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano +2

In this work we study the problem of unconstrained convex-optimization in a fully distributed multi-agent setting which includes asynchronous computation and lossy communication. I…

math.OC2017

Minimum-time trajectory generation for quadrotors in constrained environments

Sara Spedicato, Giuseppe Notarstefano

In this paper, we present a novel strategy to compute minimum-time trajectories for quadrotors in constrained environments. In particular, we consider the motion in a given flying…

math.OC2017

Interaction-Based Distributed Learning in Cyber-Physical and Social Networks

Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano

In this paper we consider a network scenario in which agents can evaluate each other according to a score graph that models some physical or social interaction. The goal is to desi…

math.OC2017★ 7 cited

Randomized Constraints Consensus for Distributed Robust Linear Programming

Mohammadreza Chamanbaz, Giuseppe Notarstefano, Roland Bouffanais

In this paper we consider a network of processors aiming at cooperatively solving linear programming problems subject to uncertainty. Each node only knows a common cost function an…

math.OC2017

Analysis of Newton-Raphson Consensus for multi-agent convex optimization under asynchronous and lossy communications

Ruggero Carli, Giuseppe Notarstefano, Luca Schenato +1

We extend a multi-agent convex-optimization algorithm named Newton-Raphson consensus to a network scenario that involves directed, asynchronous and lossy communications. We theoret…