New results in synchronization of nonlinear multi-agent systems
Seminario New results in synchronization of nonlinear multi-agent systems, tenuto da Daniele Astolfi.
L’evento è organizzato dal gruppo di ricerca System Identification and Control (SIC) del Dipartimento di Automatica e Informatica del Politecnico di Torino, all’interno del ciclo di seminari dell’IEEE CSS Italy.
Quando: venerdì 23 gennaio 2026, ore 10,30-11,30
Dove: In presenza presso la Sala riunioni 4 (4. piano) del Dipartimento di Automatica e Informatica
Online al link: https://didattica.polito.it/VClass/Seminar_Daniele_Astolfi
Relatore: Daniele Astolfi, LAGEPP, Università di Lione 1 (Francia)
Abstract: In this talk we present some recent results on the problem of state synchronization of identical multi-agent systems described by continuous-time nonlinear dynamics. The proposed conditions are studied within the framework of contraction and a metric-based analysis. General sufficient conditions based on a killing vector condition will be given to address the problem for systems described by input-affine nonlinear models, and some more constructive approaches will be briefly discussed. To this end, we will also explore the construction of a Lyapunov function in two different settings: the case of leader-connected undirected networks, and the case of undirected (weighted) graphs in the absence of a leader. Finally, equivalent results in the context of discrete-time and hybrid dynamics will be discussed.
Bio: Daniele Astolfi received a joint Ph.D. in Control Theory from the University of Bologna (Italy) and Mines ParisTech (France) in 2016.
He received the 2016 Best Italian Ph.D. Thesis Award from SIDRA. He has been a CNRS Researcher at LAGEPP in Lyon, France, since 2018.
His research focuses on nonlinear systems theory, with applications in observers and regulation. He has served as an Associate Editor for
the IFAC journal Automatica since 2018 and for the European Journal of Control since 2023.
Per ulteriori informazioni contattare:
- Prof. Diego Regruto