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Optimal Predictive Control of Smart Cyber-physical Systems

Francesco Liberati
speaker DIAG: 
Data dell'evento: 
Lunedì, 13 May, 2024 - 10:00
DIAG Aula A3
Alessandro Di Giorgio (digiorgio@diag.uniroma1.it)

Nell'ambito della procedura di valutazione di un Ricercatore a Tempo Determinato tipologia B ai fini della chiamata nel ruolo di Professore 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 data 13 maggio 2024, ore 10.00, presso aula A3.

Il seminario sarà anche trasmesso in modalità telematica su Zoom al link:


Abstract. The seminar will provide an overview of Liberati’s recent research activities, focusing on relevant control problems in the power 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 terms of time, energy, emissions saving/reduction), and characterized by an ever-increasing use of digital technologies and new smart control services. Automatic control can play a fundamental role in providing effective and scalable control algorithms, ensuring efficient and safe operation of the controlled systems.

In this context, the talk will discuss about the application of optimal control and model predictive control (MPC) algorithms in key problems from the power systems, smart cities, and assembly line domains. Perhaps not surprisingly, although arising from different application domains, the tackled problems have very similar mathematical descriptions, since the involved systems can be modelled as systems integrating dynamics, logics, and constraints, leading to models which can be easily 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 the ongoing research efforts to make the control problems better scale to large scenarios. Challenges concerning arising cyber-physical security issues in the smart grid will be also briefly discussed.

Short Bio. Francesco Liberati obtained the PhD degree in Systems Engineering from Sapienza University 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 European-funded projects. In 2017 and 2018, he was a research project manager 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 automatic control laboratory of the ULB University in Brussels, Belgium, working on optimal control and cyber-physical systems. Currently, he is an 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 control and artificial intelligence techniques.



gruppo di ricerca: 
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