Smart systems incorporate functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions. In most cases the “smartness” of the system can be attributed to autonomous operation based on closed loop control, energy efficiency, and networking capabilities.
Smart systems typically consist of diverse components:
(https://en.wikipedia.org/wiki/Smart_system)
The course aims at providing modeling and methodological approaches to sensing, actuation, and control in order to describe and analyze a system, and make decisions based on the available data in a distributed, predictive and/or adaptive manner, thereby performing “smart actions”. The student will approach such smart systems by studying proper models and methods in different applicative contexts, such as smart power grids, connected autonomous vehicles and platooning, energy efficient buildings, distributed logistics, and environmental monitoring.
AIMS: make the student aware of control and systems modelling techniques which can now be applied through the availability of networks of smart sensors, such as the ones based on Internet of Things.
LEARNING OUTCOMES: technical and methdological skills in the design of a smart system with the possibility to control it according to Model PRective Control, Robust Control, and Distributed Control approaches.
basic control and systems modelling techniques in Matlab and Simulink
Project and oral interview
Introduction to complex systems
Control of a complex system
Strategic and tactical decisions
Reliability, Availbility, Maintenance, and Safety of a complex system
Different authors
Videos and papers at https://systemsacademy.io/
A. Bemporad, W.P.M.H. Heemels, and M. Johansson (Eds.),
Networked Control Systems, vol. 406 of Lecture Notes in Control and Information Sciences
Springer-Verlag, Berlin Heidelberg, 2010
ISBN 978-0-85729-033-5
C. Bersani, R. Sacile
Trasporto di merci pericolose su strada: Valutazione del rischio e caso di studio
Edizioni Accademiche Italiane, 2018
ISBN 978-620-2-08697-4
T. Nowakowski, et al.
Safety and Reliability: Methodology and Applications
CRC Press, 2014.
ISBN 9781138026810
A. Rantzer
Dynamic Dual Decomposition for Distributed Control
2009 American Control Conference
H. Dagdougui and R. Sacile
Decentralized Control of the Power Flows in a
Network of Smart Microgrids Modeled
as a Team of Cooperative Agents
Ieee Transactions on Control Systems Technology, 2014
A. Gattami et al.
Robust Team Decision Theory
Ieee Transactions on Automatic Control, 2012
A. Gattami
Generalized Linear Quadratic Control
Ieee Transactions on Automatic Control, 2010
C. Bersani et al.
Distributed Product Flow Control in a Network of Inventories With Stochastic Production and Demand
IEEE Access, 2019
L. Zero et al.
Two new approaches for the bi-objective shortest path with a fuzzy objective applied to HAZMAT transportation
Journal of hazardous materials, 2019
Distributed robust control of the power flows in a team of cooperating microgrids
IEEE Transactions on Control Systems Technology, 2016
Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities
Ricevimento: Contacts: Prof. Roberto Sacile, PhD c/o DIBRIS – University of Genova Polytechnic School via Opera Pia 13 16145 Genova, Italy Mob. +393281003228 Skype live:roberto.sacile_1 H323 130.251.5.4 http://orcid.org/0000-0003-4086-8747 Scopus Author ID: 56250207700
ROBERTO SACILE (President)
ENRICO ZERO
MICHELE AICARDI (President Substitute)
https://courses.unige.it/11160/p/students-timetable
The exam is based on the design and implementation of a smart system, generally in Matlab/Simulink environment. This project will be discussed in an interview, where other contents of the course will also be asked.
During the interview, the student must show to have the ability to modify the project according to different specifications given. In addition, he/she must show to have a clear view of the other methdological and technological content of the course
