Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

A.A. 2024/2025

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Master's Degree in Computer Engineering for Intelligent Systems - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
6
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/04
12
C
ING-INF/06

2° Year   activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
3 modules among the following 
(A.A. 2025/2026 Internet of medical things not activated)
6
C
ING-INF/06
6
C
ING-INF/04 ,MED/50
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
24
E
-
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
3 modules among the following 
(A.A. 2025/2026 Internet of medical things not activated)
6
C
ING-INF/06
6
C
ING-INF/04 ,MED/50
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
4 modules among the following:
- 1st year: Advanced visual computing and 3d modeling, Computer vision, Embedded & IoT systems design, Embedded operating systems, Robotics 
- 2nd year: Advanced control systems
6
B
ING-INF/04
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/04
6
B
ING-INF/05
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Further activities
6
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Advanced control systems  (2025/2026)

Teaching code

4S009008

Teacher

Riccardo Muradore

Coordinator

Riccardo Muradore

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

ING-INF/04 - SYSTEMS AND CONTROL ENGINEERING

Period

1st semester dal Oct 1, 2025 al Jan 30, 2026.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

The course aims to provide the following knowledge: theoretical and practical tools for modeling, analyzing and controlling a complex dynamic system using the most modern techniques based on the theory of nonlinear systems and optimization. At the end of the course the student will have to demonstrate that s/he has the following skills to apply the acquired knowledge: ability to model and analyze a dynamic system, even non-linear; ability to design (linear and/or nonlinear) controllers and observers based on optimality principles; ability to model a complex nonlinear dynamic system and to analyze its properties; ability to design a controller solving an optimal control problem and/or exploiting the theory of passivity; ability to deal with problems of estimation and identification; ability to synthesize a controller for complex mechatronic systems, possibly non-linear and/or time-varying; ability to continue studies independently in the context of advanced control systems. Student must also have the ability to define the technical specifications for designing an advanced controller for complex dynamic systems described by differential or difference equations.

Prerequisites and basic notions

Dynamic systems, Robotics

Program

Topics that will be addressed during the course:
- manipulator dynamics
- motion control
- force control (force and impedance)
Topics that will be addressed during the lab activity:
- Implementation of the dynamic model of a 6 degree-of-freedom robot
- Implementation of architectures for motion control
- Implementation of architectures for force control

Didactic methods

Frontal lessons for the theoretical part; Lectures with the active involvement of students for the laboratory part.

Learning assessment procedures

The exam will consist of the discussion of the homework (HW) assigned during the semester on the topics developed during the course. The student will have to implement the HW on Matlab/Simulink (and/or ROS), verify its correct functioning and present a short technical paper.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

To pass the exam, the student must demonstrate:
- to have understood the principles related to the design of advanced control systems,
- to be able to use the knowledge acquired during the course to solve the assigned problems,
- to be able to describe their work by explaining and motivating the design choices.

Criteria for the composition of the final grade

The final mark will be the composition of the mark on the homework (correctness and quality of the presentation) and on their exposure during the oral exam.

Exam language

Inglese / English

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