OVERVIEW

The course will provide basic notions for the simulation and control of dynamic systems, referring to real application cases such as energy, production and environmental systems. In order to analyze the performance of the systems considered, mathematical models will be defined and software tools such as Matlab / Simulink will be used.

AIMS AND CONTENT

LEARNING OUTCOMES

The student will acquire the knowledge related to the representation in mathematical terms of complex systems related to different application fields (energy systems, environmental systems, production systems, logistics, etc.) in which different components interact on different time scales. In particular, the student will learn to use computer tools for simulating the behavior of these systems and for analyzing their performance. In addition, it will understand how it is possible to set up and solve problems related to the optimization of decisions and control policies in real time.

AIMS AND LEARNING OUTCOMES

The main aim of the course is to provide basic notions of systems analysis and control through the analysis and modelling of real case studies. This will provide to opportunity of:

-understanding basics of simulation and control that can be applied to several case studies;

- understanding and modelling some specific systems relevant to industrial systems (energy management, production, smart grids and buildings, etc.).

Moreover, the students will use software tools to evaluate the considered systems that can be also applied to other case studies.
The transversal skills on which we intend to focus are:

- personal competence

- social competence

-  ability to learn to learn proficiency in project creation

- expertise in project management
 

PREREQUISITES

none

TEACHING METHODS

The course includes lectures, seminars and computer exercises. In particular, as regards transversal skills, exercises (on and off the computer) will be carried out in the classroom, encouraging work in different groups in order to promote personal and social skills and project development. Small projects will also be assigned to develop and present.

Working students and students with DSA, disability or other special educational needs certification are advised to contact the teacher at the beginning of the course to agree on teaching and exam methods which, in compliance with the teaching objectives, take into account individual ways of learning
 

SYLLABUS/CONTENT

The course will cover basic notions of modeling and control of dynamic systems, with reference to simple application cases, including through the use of software tools.

The lessons of the course will cover the following topics:

- Introduction to the analysis of dynamic systems.

- Introduction to various application themes (with reference to real case studies): sustainable districts, intelligent electricity grids (smart grids), intelligent buildings (smart buildings), logistics and production systems.

- Modeling of dynamic systems using software tools (MATLAB / Simulink), with reference to the above-mentioned application areas.

- Introduction to the control of dynamic systems.

- Control of dynamic systems also through software tools (MATLAB / Simulink, Lingo), with reference to the above application areas.

RECOMMENDED READING/BIBLIOGRAPHY

Lecture notes

TEACHERS AND EXAM BOARD

Exam Board

MICHELA ROBBA (President)

GIULIO FERRO

MICHELE AICARDI (President Substitute)

LESSONS

LESSONS START

https://corsi.unige.it/corsi/11429/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral examination.

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.

ASSESSMENT METHODS

The verification methods concern:

1. During the oral exam the teacher will define a system that the student will have to characterize from the point of view of simulation and control

2. During the oral exam some general questions will be asked to verify the knowledge of point 1, and to evaluate the reasoning skills

3. During the oral exam a report developed by the students during the exercises will be evaluated.

The evaluation criteria concern:

- correctness of the project report and written and oral answers

- appropriate vocabulary and confidence in exposure

Exam schedule