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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20231029T030000
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RDATE:20241027T030000
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UID:calendar.28118.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260408T232303Z
CREATED:20240508T093206Z
DESCRIPTION:Nell'ambito della procedura di valutazione di un Ricercatore a 
 Tempo Determinato tipologia B ai fini della chiamata nel ruolo di Professo
 re di II fascia ai sensi dell’art. 24\, comma 5\, legge 240/2010\, SSD ING
 -INF/04 – SC 09/G1\, Francesco Liberati terrà un seminario pubblico in dat
 a 13 maggio 2024\, ore 10.00\, presso aula A3.Il seminario sarà anche tras
 messo in modalità telematica su Zoom al link:https://uniroma1.zoom.us/j/83
 976405280Abstract. The seminar will provide an overview of Liberati’s rece
 nt research activities\, focusing on relevant control problems in the powe
 r systems\, smart cities\, and assembly line domains.For various reasons\,
  these industries are all undergoing a progressive transformation aimed at
  increasing productivity\, competitiveness\, and efficiency (e.g.\, in ter
 ms of time\, energy\, emissions saving/reduction)\, and characterized by a
 n ever-increasing use of digital technologies and new smart control servic
 es. Automatic control can play a fundamental role in providing effective a
 nd scalable control algorithms\, ensuring efficient and safe operation of 
 the controlled systems.In this context\, the talk will discuss about the a
 pplication of optimal control and model predictive control (MPC) algorithm
 s in key problems from the power systems\, smart cities\, and assembly lin
 e domains. Perhaps not surprisingly\, although arising from different appl
 ication domains\, the tackled problems have very similar mathematical desc
 riptions\, since the involved systems can be modelled as systems integrati
 ng dynamics\, logics\, and constraints\, leading to models which can be ea
 sily integrated into discrete-time MPC formulations (often based on mixed-
 integer programming) or continuous time optimal control problems. The talk
  will present basic problem formulations and results for smart charging\, 
 tasks scheduling and traffic control problems\, and will further outline t
 he ongoing research efforts to make the control problems better scale to l
 arge scenarios. Challenges concerning arising cyber-physical security issu
 es in the smart grid will be also briefly discussed.Short Bio. Francesco L
 iberati obtained the PhD degree in Systems Engineering from Sapienza Unive
 rsity of Rome in 2015. After his PhD\, he worked as postdoc mainly in the 
 field of smart grids and ICT research\, also in the context of several Eur
 opean-funded projects. In 2017 and 2018\, he was a research project manage
 r at 'The Innovation and Networks Executive Agency (INEA)' of the European
  Commission\, in Brussels\, where he managed several smart grids and smart
  cities research projects. In 2019\, he was a visiting researcher at the a
 utomatic control laboratory of the ULB University in Brussels\, Belgium\, 
 working on optimal control and cyber-physical systems. Currently\, he is a
 n RTD-B researcher at the DIAG department. His current research interests 
 include cyber-physical systems and control problems in smart grids\, smart
  cities\, and assembly lines\, focusing on the application of optimal cont
 rol and artificial intelligence techniques.  
DTSTART;TZID=Europe/Paris:20240513T100000
DTEND;TZID=Europe/Paris:20240513T100000
LAST-MODIFIED:20240508T115013Z
LOCATION:DIAG Aula A3
SUMMARY:Optimal Predictive Control of Smart Cyber-physical Systems - France
 sco Liberati\n\n\n  \n  \n\n    \n\n\nFrancesco\n\n\nLiberati  \n\n  \n\n 
    \n\n\n\n\n\nProfessore associato\n\n\npagina personale\n\nstanza: \n\nA
 213\n\ntelefono: \n\n+39 0677274037  \n\n  \n\n    \n\nBiografia: \n\n\n\n
 Associate professor in automatic control\, currently working mainly on cyb
 er-physical systems\, and hybrid MPC-deep learning control algorithms\, wi
 th applications to practical problems in power systems\, traffic control\,
  and task scheduling.\n\n\nI obtained my PhD in Systems Engineering from S
 apienza University\, with a dissertation over recent control problems in t
 he area of energy management in smart grids.\n\n\nFrom May 2017 to Decembe
 r 2018 I was H2020 energy research project manager at 'The Innovation and 
 Networks Executive Agency (INEA)'\, European Commission\, Brussels\, where
  I managed a portfolio of large energy and smart cities H2020 research pro
 jects.\n\n\nPreviously\, I have carried out applied research in several eu
 ropean funded projects\, in which I took project management roles as team 
 leader\, work package leader\, task leader.\n\n\nWebsite: https://sites.go
 ogle.com/diag.uniroma1.it/liberati/\n\n\nCourses (see above webpage for de
 tails):\nProcess Identification and Control (9 CFU)\;\nSystems and Control
  Methods for Cyber-physical Security (6 CFU).\n\n\nInteressi di ricerca: 
 \n\nControl theory\;\nModel predictive control\;\nCyber-physical systems\;
 \nSmart grids.\n\n\nkeywords: \n\nControl ApplicationsControl of NetworksO
 ptimal Control and Stochastic SystemsSecurity for cyber-physical systems\n
 \nqualifica_rr: \n\nAssociate professors
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/28118
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