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20182021
most citedDistributed Optimization for Smart Cyber-Physical Networks

101 citations · 225 across the 9 of their papers we have counts for

collaborators

10 papers

math.OC2021

Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach

Andrea Camisa, Alessia Benevento, Giuseppe Notarstefano

In this paper, we present a distributed algorithm for solving convex, constraint-coupled, optimization problems over peer-to-peer networks. We consider a network of processors that…

math.OC2021★ 1 cited

Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination

Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano

This paper focuses on an online version of the emerging distributed constrained aggregative optimization framework, which is particularly suited for applications arising in coopera…

math.OC2021

A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control

Andrea Camisa, Giuseppe Notarstefano

This paper deals with distributed control of microgrids composed of storages, generators, renewable energy sources, critical and controllable loads. We consider a stochastic formul…

cs.RO2021★ 45 cited

Multi-Robot Pickup and Delivery via Distributed Resource Allocation

Andrea Camisa, Andrea Testa, Giuseppe Notarstefano

In this paper, we consider a large-scale instance of the classical Pickup-and-Delivery Vehicle Routing Problem (PDVRP) that must be solved by a network of mobile cooperating robots…

math.OC2020

Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs

Andrea Camisa, Francesco Farina, Ivano Notarnicola +1

The paper addresses large-scale, convex optimization problems that need to be solved in a distributed way by agents communicating according to a random time-varying graph. Specific…

math.OC2020

Distributed Primal Decomposition for Large-Scale MILPs

Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano

This paper deals with a distributed Mixed-Integer Linear Programming (MILP) set-up arising in several control applications. Agents of a network aim to minimize the sum of local lin…

cs.RO2020★ 36 cited

ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics

Andrea Testa, Andrea Camisa, Giuseppe Notarstefano

In this paper, we introduce ChoiRbot, a toolbox for distributed cooperative robotics based on the novel Robot Operating System (ROS) 2. ChoiRbot provides a fully-functional toolset…

math.OC2019★ 27 cited

DISROPT: a Python Framework for Distributed Optimization

Francesco Farina, Andrea Camisa, Andrea Testa +2

In this paper we introduce DISROPT, a Python package for distributed optimization over networks. We focus on cooperative set-ups in which an optimization problem must be solved by…

eess.SY2019★ 101 cited

Distributed Optimization for Smart Cyber-Physical Networks

Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa

The presence of embedded electronics and communication capabilities as well as sensing and control in smart devices has given rise to the novel concept of cyber-physical networks,…

eess.SY2018★ 15 cited

A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming

Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano

In this paper we deal with a network of agents seeking to solve in a distributed way Mixed-Integer Linear Programs (MILPs) with a coupling constraint (modeling a limited shared res…