Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Alessandro Falsone"'
Publikováno v:
IEEE Transactions on Automatic Control. 68:272-284
We consider a multi-agent optimal resource sharing problem that is represented by a linear program. The amount of resource to be shared is fixed, and agents belong to a population that is characterized probabilistically so as to allow heterogeneity a
This letter addresses the challenge of solving large-scale Mixed Integer Linear Programs (MILPs). A resolution scheme is proposed for the class of MILPs with a hidden constraint-coupled multi-agent structure. In particular, we focus on the problem of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77fde672eb4cf197ce63d0f8a1fe3830
http://hdl.handle.net/11311/1183232
http://hdl.handle.net/11311/1183232
Autor:
Kostas Margellos, Maria Prandini, Fabio Belluschi, Alessandro Falsone, Simone Garatti, Daniele Ioli
Publikováno v:
Journal of Process Control. 89:11-21
This paper deals with structured multi-agent optimization problems that involve coupled local and global decision variables. We propose an iterative distributed algorithm that explicitly accounts for this structure, and requires the agents to communi
Publikováno v:
IFAC-PapersOnLine. 53:15211-15216
This paper addresses the design of coordinated maneuvers in an autonomous driving set-up involving multiple vehicles. In particular, we consider a lane change problem where a vehicle has to merge in a platoon traveling in the adjacent lane of a two-l
We consider linear resource sharing problems with multiple agents. Agents are heterogeneous, with heterogeneity modelled by a tuple of parameters taking value according to an underlying probability distribution, and share a fixed resource amount. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e40154b4d20a5b99b40eeab3be24438b
https://ora.ox.ac.uk/objects/uuid:ca29522d-a45a-4aff-b34c-6b95d210e886
https://ora.ox.ac.uk/objects/uuid:ca29522d-a45a-4aff-b34c-6b95d210e886
Publikováno v:
Automatica. 146:110589
Publikováno v:
Sustainable Energy, Grids and Networks. 31:100740
Autor:
Maria Prandini, Alessandro Falsone
We address constraint-coupled optimization for a system composed of multiple cooperative agents communicating over a time-varying network. We propose a distributed proximal minimization algorithm that is guaranteed to converge to an optimal solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f6b4d446ff13e511063b7c59fd8032f
http://hdl.handle.net/11311/1161106
http://hdl.handle.net/11311/1161106
Autor:
Maria Prandini, Alessandro Falsone
Publikováno v:
Automatica. 135:109938
In this paper we deal with decision-coupled problems involving multiple agents over a network. Each agent has its own local objective function and local constraints, and all agents aim at finding the value of a common decision vector that minimizes t
We consider constraint-coupled optimization problems in which agents of a network aim to cooperatively minimize the sum of local objective functions subject to individual constraints and a common linear coupling constraint. We propose a novel optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9e83da46d3e21f72f86951ac1fb2c22
http://arxiv.org/abs/1907.10860
http://arxiv.org/abs/1907.10860