55 citations · 94 across the 18 of their papers we have counts for
8 papers · 1 filter
Price of anarchy in electric vehicle charging control games: When Nash equilibria achieve social welfare
Luca Deori, Kostas Margellos, Maria Prandini
We consider the problem of optimal charging of plug-in electric vehicles (PEVs). We treat this problem as a multi-agent game, where vehicles/agents are heterogeneous since they are…
Energy management for building district cooling: a distributed approach to resource sharing
Fabio Belluschi, Alessandro Falsone, Daniele Ioli +3
This paper deals with energy management in a district where multiple buildings can communicate over a time-varying network and aim at optimizing the use of shared resources like st…
A relaxation technique to ensure feasibility in stochastic control with input and state constraints
Luca Deori, Simone Garatti, Maria Prandini
We consider a stochastic linear system and address the design of a finite horizon control policy that is optimal according to some average cost criterion and accounts also for prob…
Finite time distributed averaging over ring networks
Alessandro Falsone, Kostas Margellos, Simone Garatti +1
We consider a multi-agent system where each agent has its own estimate of a given quantity and the goal is to reach consensus on the average. To this purpose, we propose a distribu…
Randomised Algorithm for Feature Selection and Classification
Aida Brankovic, Alessandro Falsone, Maria Prandini +1
We here introduce a novel classification approach adopted from the nonlinear model identification framework, which jointly addresses the feature selection and classifier design tas…
Dual decomposition for multi-agent distributed optimization with coupling constraints
Alessandro Falsone, Kostas Margellos, Simone Garatti +1
We study distributed optimization in a cooperative multi-agent setting, where agents have to agree on the usage of shared resources and can communicate via a time-varying network t…
Regularized Jacobi iteration for decentralized convex optimization with separable constraints
Luca Deori, Kostas Margellos, Maria Prandini
We consider multi-agent, convex optimization programs subject to separable constraints, where the constraint function of each agent involves only its local decision vector, while t…
Distributed constrained optimization and consensus in uncertain networks via proximal minimization
Kostas Margellos, Alessandro Falsone, Simone Garatti +1
We provide a unifying framework for distributed convex optimization over time-varying networks, in the presence of constraints and uncertainty, features that are typically treated…