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On the control of nonlinear systems under sampling and delays

Mattia Mattioni
Data dell'evento: 
Monday, 6 July, 2020 - 15:00
Google Meet: all’indirizzo https://meet.google.com/dcu-quuj-ahj
Salvatore Monaco

Seminario pubblico sulle attività di ricerca svolte e in corso di svolgimento, come previsto dagli adempimenti richiesti per la chiamata del vincitore della procedura selettiva per il reclutamento a ricercatore a tempo determinato di tipologia A per il settore concorsuale 09/G - Settore Scientifico-Disciplinare ING-INF/04 (Automatica), presso il Dipartimento di Ingegneria Informatica Automatica e Gestionale Antonio Ruberti dell’Università degli Studi di Roma “La Sapienza”, bandita con D.D. n. 92/2019 del 22/11/2019. Il seminario sarà svolto in modalità telematica lunedì 6 luglio 2020, alle ore 15.00. Per partecipare, connettersi all’indirizzo https://meet.google.com/dcu-quuj-ahj

Abstract: In this talk, I will present an overview of my research activity on the control of nonlinear systems under sampling. Albeit most plants evolve continuously over time the designed control laws are implemented through digital devices and sensors acquire only partial information on the system behavior. In both cases, those equipments act over discrete-time instants in a synchronous or synchronous way so making the necessity of a suitable control design unavoidable. Those classes of systems are generally referred to as sampled-data systems in the sense that they combine discrete and continuous-time evolutions. Roughly speaking, measures of the output are available only at sporadic discrete-time instants while the control is piecewise constant over a fixed time interval (the sampling period). In this context, based on the so-called sampled-data equivalent model describing the evolutions at all sampling instants, new control laws are proposed for classes of nonlinear systems based on the new geometrical and physical properties induced by sampling. Then, the case of dynamics affected by time delays is considered by highlighting the advantages of sampling to overcome several pathologies that are typical for purely continuous-time retarded systems. Finally, a brief sketch on more recent activities concerning hybrid and nonlinear dynamics evolving over graphs is given.
Short bio: Mattia Mattioni received his Bachelor Degree (Laurea) and Master of Science (Laurea Magistrale) in Control Engineering from La Sapienza, Università di Roma (Italy), both Magna cum Laude. In 2015, he received the double degree for the Master de Recherche en Automatique, Traitement du Signal et des Images (M2R ATSI)  through the bilateral agreement STIC&A with Université Paris-SudHe received the PhD in System and Control Theory in 2018 from La Sapienza, Università di Roma (Italy) and Université Paris-Sud (France) through a joint program with DIAG "A. Ruberti" (La Sapienza, Università di Roma) under the supervision of Salvatore Monaco and Dorothée Normand-Cyrot. In 2019, he was recipient of the Premio SIDRA "Miglior Tesi di Dottorato 2019” for the best Italian PhD Thesis in Automatica. In 2019, he was also finalist for the Prix des meilleures thèses du GDR MACS et de la Section Automatique du Club EEA for the best PhD Thesis developed in a French University.  Since 2018, he has been a post-doctoral fellow (assegnista di ricerca) at DIAG "A. Ruberti" (La Sapienza, Università di Roma). His research is mainly concerned with hybrid systems, networked systems and nonlinear systems under sampling and time-delays. 
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