OPT4SMART SIGNED
Distributed Optimization Methods for Smart Cyber-Physical Networks
Total Cost €
0EC-Contrib. €
0Partnership
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0OPT4SMART project word cloud
Explore the words cloud of the OPT4SMART project. It provides you a very rough idea of what is the project "OPT4SMART" about.
Project "OPT4SMART" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITA DEL SALENTO
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Project website | http://www.opt4smart.eu/ |
| Total cost | 1˙488˙750 € |
| EC max contribution | 1˙488˙750 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2014-STG |
| Funding Scheme | ERC-STG |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-10-01 to 2020-09-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITA DEL SALENTO | IT (LECCE) | coordinator | 1˙488˙750.00 |
Map
Project objective
The combination of embedded electronics and communication capability in almost any mobile or portable device has turned this century into the age of cyber-physical networks. Smart communicating devices with their sensing, computing and control capabilities promise to make our cities, transportation systems, factories and living environments more intelligent, energy-efficient, safe and secure. This extremely complex system has raised a number of new challenges involving ICT disciplines. In particular, a novel peer-to-peer distributed computational model is appearing as a new opportunity in which a service is built-up cooperatively by peers, rather than by a unique provider that knows and owns all data. The interdisciplinary “Optimization Community” is facing this revolution sharing a common need: to find new theories, methodologies and tools to optimize over this complex network system. With this in mind, OPT4SMART has a twofold objective. First, to provide a comprehensive theoretical framework to solve distributed optimization problems over peer-to-peer networks. Second, to develop effective numerical tools, based on this framework, to solve estimation, learning, decision and control problems in cyber-physical networks. To achieve this twofold objective, we will take a systems-theory perspective. Specific problems from these four areas will be abstracted to a common mathematical set-up, and addressed by means of interdisciplinary methodologies arising from a synergic combination of optimization, controls, and graph theories. In particular, OPT4SMART will face the challenge of solving optimization problems under severe communication limitations, very-large-scale problem and data size, and real-time computational constraints. The expected result will be a combination of strong theoretical methods and effective numerical toolboxes available to people in Engineering, Computer Science, Mathematics and other areas, who are facing optimization in cyber-physical networks.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange published pages: 1-1, ISSN: 0018-9286, DOI: 10.1109/tac.2019.2920812 |
IEEE Transactions on Automatic Control | 2020-04-01 |
| 2019 |
Andrea Camisa, Giuseppe Notarstefano A Distributed Primal Decomposition Scheme for Nonconvex Optimization published pages: 315-320, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.174 |
IFAC-PapersOnLine 52/20 | 2020-04-01 |
| 2018 |
Sara Spedicato, Giuseppe Notarstefano Cloud-assisted Distributed Nonlinear Optimal Control for Dynamics over Graph published pages: 361-366, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.12.062 |
IFAC-PapersOnLine 51/23 | 2020-04-01 |
| 2016 |
Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano A duality-based approach for distributed min-max optimization published pages: , ISSN: , DOI: |
Submitted to journal | 2020-04-01 |
| 2018 |
Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo Newton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks published pages: , ISSN: , DOI: |
IEEE Transactions on Automatic Control - Provisionally Accepted as Technical Note | 2020-04-01 |
| 2016 |
Ivano Notarnicola and Giuseppe Notarstefano Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient published pages: , ISSN: 0018-9286, DOI: 10.1109/TAC.2016.2607023 |
IEEE Transactions on Automatic Control | 2020-04-01 |
| 2016 |
Angelo Coluccia, Giuseppe Notarstefano A Bayesian Framework for Distributed Estimation of Arrival Rates in Asynchronous Networks published pages: 3984-3996, ISSN: 1053-587X, DOI: 10.1109/TSP.2016.2557313 |
IEEE Transactions on Signal Processing 64/15 | 2020-04-01 |
| 2017 |
Smriti Chopra, Giuseppe Notarstefano, Matthew Rice, Magnus Egerstedt A Distributed Version of the Hungarian Method for Multirobot Assignment published pages: 932-947, ISSN: 1552-3098, DOI: 10.1109/TRO.2017.2693377 |
IEEE Transactions on Robotics 33/4 | 2020-04-01 |
| 2017 |
Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition published pages: 1-1, ISSN: 2325-5870, DOI: 10.1109/TCNS.2017.2774010 |
IEEE Transactions on Control of Network Systems | 2020-04-01 |
| 2018 |
Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange published pages: , ISSN: , DOI: |
Submitted to journal | 2020-04-01 |
| 2018 |
Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano Asynchronous Distributed Method of Multipliers for Constrained Nonconvex Optimization published pages: , ISSN: , DOI: |
2018 European Control Conference (ECC) - TO APPEAR | 2020-04-01 |
| 2017 |
Sara Spedicato, Giuseppe Notarstefano Minimum-Time Trajectory Generation for Quadrotors in Constrained Environments published pages: 1-10;, ISSN: 1063-6536, DOI: 10.1109/TCST.2017.2709268 |
IEEE Transactions on Control Systems Technology | 2020-04-01 |
| 2017 |
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano Interaction-Based Distributed Learning in Cyber-Physical and Social Networks published pages: , ISSN: , DOI: |
Submitted to journal | 2020-04-01 |
| 2018 |
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano Distributed Learning from Interactions in Social Networks published pages: , ISSN: , DOI: |
2018 European Control Conference (ECC) - TO APPEAR | 2020-04-01 |
| 2018 |
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano An Empirical Bayes Approach for Distributed Estimation of Spatial Fields published pages: , ISSN: , DOI: |
2018 European Control Conference (ECC) - TO APPEAR | 2020-04-01 |
| 2017 |
Mohammadreza Chamanbaz, Giuseppe Notarstefano, Roland Bouffanais Randomized Constraints Consensus for Distributed Robust Linear Programming * *This work is supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme, grant agreement No 638992 - OPT4SMART, (GN) and by a grant from the Singapore National Research Foundation (NRF) under the ASPIRE project, grant No NCR-NCR001-040 (MC&RB). published pages: 4973-4978, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.763 |
IFAC-PapersOnLine 50/1 | 2020-04-01 |
| 2017 |
Ivano Notarnicola, Giuseppe Notarstefano A Duality-Based Approach for Distributed Optimization with Coupling Constraints published pages: 14326-14331, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.1874 |
IFAC-PapersOnLine 50/1 | 2020-04-01 |
| 2017 |
Sara Spedicato, Giuseppe Notarstefano An optimal control approach to the design of periodic orbits for mechanical systems with impacts published pages: 111-121, ISSN: 1751-570X, DOI: 10.1016/j.nahs.2016.08.009 |
Nonlinear Analysis: Hybrid Systems 23 | 2020-04-01 |
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