SMART SYSTEMS CONTROL AND APPLICATIONS

SMART SYSTEMS CONTROL AND APPLICATIONS

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iten
Code
98458
ACADEMIC YEAR
2020/2021
CREDITS
6 credits during the 2nd year of 8733 Computer Engineering (LM-32) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
ING-INF/04
LANGUAGE
English
TEACHING LOCATION
GENOVA (Computer Engineering)
semester
1° Semester
Teaching materials

AIMS AND CONTENT

LEARNING OUTCOMES

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 AND LEARNING OUTCOMES

The course aims at providing modeling and methodological approaches to control a complex 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 complex systems by studying proper models and methods in different applicative contexts, such as smart power grids, connected autonomous vehicles and platooning, energy efficient buildings, distribution logistics, and environmental monitoring. As final content of the course, an additional aspect related to Reliability, Availbility, Maintenance, and Safety of a complex system will be shown.

Teaching methods

Project and oral interview

SYLLABUS/CONTENT

Introduction to complex systems

  • Networked and smart systems
  • Complex Systems Design Overview
  • Strategic, tactical, and operational decision making

Control of a complex system

  • Modelling predictive control (MPC)
    • Feedback systems
    • Receding horizon
    • Linear predictive control
    • MPC vs Linear Quadratic Control
  • Dual decomposition
  • Minimax team decision problems
  • Generalised linear quadratic control
  • Applications: energy efficient buildings, smart greenhouses, vehicle platooning, smart power grids.

Strategic and tactical decisions

  • Risk based routing in a network: averse beahaviour and fuzzy objectives
  • Vehicle routing versus inventory routing problems
  • Applications: transport of dangerous goods

Reliability, Availbility, Maintenance, and Safety of a complex system

RECOMMENDED READING/BIBLIOGRAPHY

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

C. Bersani et al.

Distributed robust control of the power flows in a team of cooperating microgrids

IEEE Transactions on Control Systems Technology, 2016

TEACHERS AND EXAM BOARD

Ricevimento: Contacts: teams/email roberto.sacile@unige.it mobile phone +393281003228

Exam Board

ROBERTO SACILE (President)

ENRICO ZERO

MICHELA ROBBA

RICCARDO MINCIARDI

CHIARA BERSANI

LESSONS

Teaching methods

Project and oral interview