Seminar: Distributed optimization in cyber-physical networks
The seminar will be given by Giuseppe Notarstefano, Associate Professor, University of Salento, Lecce, Italy.
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Date: 17 October 2016
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Event location: Room 4.1, School of Engineering and Architecture, viale Risorgimento 2, Bologna
Contact Name: Prof. Lorenzo Marconi
About the speaker
Giuseppe Notarstefano is Associate Professor at the Università del Salento (Lecce, Italy), where he was Assistant Professor (Ricercatore) from February 2007 to May 2016. He received the Laurea degree “summa cum laude” in Electronics Engineering from the Università di Pisa in 2003 and the Ph.D. degree in Automation and Operation Research from the Università di Padova in 2007. He has been visiting scholar at the University of Stuttgart, University of California Santa Barbara and University of Colorado Boulder.
His research interests include distributed optimization, cooperative control in complex networks, applied nonlinear optimal control, and trajectory optimization and maneuvering of aerial and car vehicles. He serves as an Associate Editor for the IEEE Transactions on Control Systems Technology, for the Conference Editorial Board of the IEEE Control Systems Society and for other IEEE and IFAC conferences. He coordinated the VI-RTUS team winning the International Student Competition “Virtual Formula 2012”. He is recipient of an ERC Starting Grant 2014.
Abstract
Large-scale complex systems have become ubiquitous in everyday life. Social-networks, smart grids, cooperative robots, sensor networks are just few examples. An important prerequisite for numerous estimation, learning, decision and control tasks arising in such complex systems is the solution of optimization problems in a peer-to-peer, distributed framework. That is, identical processors with limited computation and communication capabilities need to agree on a global minimizer by performing local computation and by exchanging data only with neighboring processors. In this talk I will start presenting a class of optimization problems arising in cyber-physical networks. Then I will introduce the main computation paradigm for distributed optimization. Finally, I will present some novel distributed algorithms to solve constrained convex optimization problems.