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. 2026/2027 A.A. 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/04
6
B
ING-INF/05
12
B
ING-INF/05
12
C
ING-INF/06

2° Year   activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
Final exam
24
E
-
activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
4 modules among:
- 1st year - Embedded operating systems, Embedded & IoT Systems design, Robotics, Computer vision, Advanced visual computing and 3D modeling - delivered in 2025/2026
- 2nd year - Advanced control systems - delivered in 2026/2027
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°
3 modules among:
- 2nd year -  Advanced methods for biomedical signal processing, Neurohealth, Medical robotics, Internet of Medical things - delivered in 2026/2027
- 1st or 2nd year - Mathematical modeling for Industrial and medical digital twins, Cloud computing and distributed systems - delivered in 2025/2026 or in 2026/2027
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
Between the years: 1°- 2°
Further activities
6
F
-
Between the years: 1°- 2°
12
D
-

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  (2026/2027)

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

I semestre dal Oct 1, 2026 al Jan 29, 2027.

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

English

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