7 papers
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…
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…
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…
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…
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…
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…