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SMART SYSTEMS CONTROL AND APPLICATIONS

CODE 98458
ACADEMIC YEAR 2021/2022
CREDITS
  • 6 cfu during the 2nd year of 11160 COMPUTER ENGINEERING (LM-32) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04
    LANGUAGE English
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    TEACHING MATERIALS AULAWEB

    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

    Exam Board

    ROBERTO SACILE (President)

    MARCO BAGLIETTO

    MICHELE AICARDI (President Substitute)

    LESSONS

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    Exam schedule

    Date Time Location Type Notes
    19/01/2022 11:00 GENOVA Orale
    04/02/2022 11:00 GENOVA Orale
    09/06/2022 11:00 GENOVA Orale
    23/06/2022 11:00 GENOVA Orale
    18/07/2022 11:00 GENOVA Orale
    05/09/2022 11:00 GENOVA Orale