PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



Introduction to Complex Systems (insegnamento su invito)

01RTARV

A.A. 2023/24

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Elettrica, Elettronica E Delle Comunicazioni - Torino

Course structure
Teaching Hours
Lezioni 15
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Rizzo Alessandro Professore Associato IINF-04/A 3 0 0 0 1
Co-lectures
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
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Guest Lecture: Mario Di Bernardo - Università di Napoli Federico II This Unit is intended to introduce students to the fundamental concepts behind the modeling, analysis and control of complex systems as large-scale multi-agent systems consisting of many interacting nonlinear dynamical systems communicating over a complex network. After recalling fundamental concepts about the analysis of nonlinear dynamical systems, we will explore the emerging properties and collective behavior of large ensembles of dynamical systems and introduce analytical and numerical tools to study their convergence, controllability, and observability properties. Applications from Applied Science and Engineering will be used to illustrate the main concepts and complement the theoretical derivations. Example systems and applications will be drawn from science (electric/mechanical networks, sociology, ecology, epidemics) and technology (network control, robotics, and energy systems).
Guest Lecture: Mario Di Bernardo - Università di Napoli Federico II This Unit is intended to introduce students to the fundamental concepts behind the modeling, analysis and control of complex systems as large-scale multi-agent systems consisting of many interacting nonlinear dynamical systems communicating over a complex network. After recalling fundamental concepts about the analysis of nonlinear dynamical systems, we will explore the emerging properties and collective behavior of large ensembles of dynamical systems and introduce analytical and numerical tools to study their convergence, controllability, and observability properties. Applications from Applied Science and Engineering will be used to illustrate the main concepts and complement the theoretical derivations. Example systems and applications will be drawn from science (electric/mechanical networks, sociology, ecology, epidemics) and technology (network control, robotics, and energy systems).
In presenza
On site
Presentazione orale
Oral presentation
P.D.2-2 - Giugno
P.D.2-2 - June