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CODE 80292
ACADEMIC YEAR 2021/2022
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04
LANGUAGE Italian (English on demand)
TEACHING LOCATION
  • GENOVA
SEMESTER 2° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

The course deals with methodologies for optimization and control of dynamical systems

AIMS AND CONTENT

LEARNING OUTCOMES

The course provides the main modelling and methodological tools to state and solve optimization and control problems for the management and industry engineering context. At the end of the course, the students will be able to determine the control strategies for a large class of problems and to implement these strategies with specific software.

AIMS AND LEARNING OUTCOMES

At the end of the course, the student will be able:

  • to analyse the main characteristics of a dynamic system
  • to know the most relevant control methodologies for dynamic systems
  • to design controllers on the basis of prerequisites and desired performance indexes
  • to implement these controllers with suitable software

PREREQUISITES

The main prerequisites are related to Systems Theory and Operations Research 

TEACHING METHODS

Lessons and team working activities with specific software

SYLLABUS/CONTENT

  • Introduction to dinamic systems
  • Continuous-time dynamic systems: state-space representation, model classification, properties 
  • Discrete-time dynamic systems: state-space representation, model classification, properties 
  • State feedback with measurable and non measurable state, PID regulators 
  • Continuous-time optimal control: Hamilton-Jacobi theory, LQ problem
  • Discrete-time optimal control: dynamic programming, LQ problem
  • Model Predictive Control

RECOMMENDED READING/BIBLIOGRAPHY

  • P. Bolzern, R. Scattolini, N. Schiavoni, Fondamenti di controlli automatici, Mc-Graw-Hill, 2004
  • A. Locatelli, Optimal Control - An Introduction, Birkhauser, 2000
  • D.P. Bertsekas, Dynamic Programming and Optimal Control, Athena Scientific, 2000
  • J.M. Maciejowski, Predictive Control with Constraints, Prenctice Hall, 2002

TEACHERS AND EXAM BOARD

Exam Board

SILVIA SIRI (President)

CECILIA CATERINA PASQUALE

SIMONA SACONE (President Substitute)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam is oral and consists in the presentation of a project implemented with specific software and in some open-ended questions on the contents of the course

ASSESSMENT METHODS

During the exam, the ability of the student to apply optimization and control methods to dynamic systems will be assessed

Exam schedule

Data appello Orario Luogo Degree type Note
13/01/2022 09:00 GENOVA Orale
10/02/2022 09:00 GENOVA Orale
08/06/2022 14:30 GENOVA Orale
16/06/2022 09:00 GENOVA Orale
27/06/2022 09:00 GENOVA Orale
13/07/2022 09:00 GENOVA Orale
21/07/2022 09:00 GENOVA Orale
08/09/2022 09:00 GENOVA Orale