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Modeling and
Automation of Industrial
Processes
Modelação e Automação de
Processos Industriais - MAPI
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Integrated Master's degree in Electrical and
Computer Engineering
Systems, Decision and Control Area
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2nd Semester 2025/2026
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Prof. José Gaspar
jag (at)
isr.tecnico.ulisboa.pt
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Prof. Luís Custódio
luis.custodio (at)
tecnico.ulisboa.pt
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Link to the page in Fenix: https://fenix.tecnico.ulisboa.pt/disciplinas/MAPI3610/2025-2026/2-semestre
Link to previous year: https://web.tecnico.ulisboa.pt/~ist13495/courses/mapi24d/mapi2425.html
Announcements:
12.05.2026 - Published guides for Lab2 and Lab3
(presentation)
30.04.2026 - Published guide for Lab1, to run in weeks 3 and
4.
15.04.2026 - Published guide for Lab0, a training work to run
next week (week 2)
15.04.2026 - Laboratory
grades obtained in the previous two years are valid for the current school year.
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Course
Objectives:
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The
MAPI course is intended to provide students with the ability to solve automation
problems. To this end, methodologies for analysis
and synthesis of discrete event systems are studied, in the form of
supervisory controllers that are implemented in industrial devices. Training on the following components will be deepened:
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Systems analysis for
industrial automation.
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Methodologies for the
implementation of solutions in industrial automation.
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Programmable Logic
Controllers (PLCs) Languages.
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Computer Numerical
Control (CNC) machines.
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Modeling Discrete
Event Systems (DESs).
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Supervision of
Industrial Automation Processes.
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Program:
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Ch. 1a - Introduction to the course and to the PLCs Programmable Logic
Controllers (PLCs) components. PLC internal structure, operation, IO
interfaces and interconnection. PLC modules power.
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Ch. 1b - PLCs Programming
Languages Ladder diagrams (LD); Structured Text (ST). Description of the components
of a typical language. Flow control structures. Development environments.
Networking PLCs. Common programming errors.
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Ch. 1c - GRAFCET / SFC standard. Modeling
techniques. Development environment. Interpretation of GRAFCET using
Ladder. PLCs
network security.
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Ch. 2a - Discrete Event
Systems Dynamics and Modeling
(DESs). Automata, languages. Petri
nets. Restricted and extended models. Network
subclasses. Petri nets properties. Exercises and solutions.
Ch. 2b - Petri Nets (PNs)
with IO. Turing Machine FSM to PN. SFC (GRAFCET) vs PN. Slides.
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Ch. 3. Stochastic
models Stochastic Petri Nets
(SPN). Stochastic Queuing Networks (SQN). Slides.
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Ch. 4. Stochastic
analysis Markov chain modelling
of SPN and SQN. Slides. Note on Absorbing States vs Deadlocks.
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Ch. 5. Control (MDPs
in continuous time)
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Ch. 6. Supervisors and
Fluid models Methodologies for
supervision. Synthesis based on invariants. Examples of application. Slides.
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Ch. 7. Case studies (connection to Industry and Services)
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Exams
from previous years:
Exams from 2004/5 to 2012/13 in PDF.
1st exam of 2013/14 in PDF . 2nd exam of 2014/15 in PDF . 1st exam of 2015/16 in PDF.
1st exam of 2016/17 in PDF . 1st exam of 2017/18 in PDF . 1st exam of 2018/19 in PDF.
1st exam of 2019/20 in PDF . 1st exam of 2020/21 in PDF . 1st exam of 2021/22 in PDF .
1st exam of 2022/23 in PDF . 1st exam of 2023/24 in PDF . 1st exam of 2024/25 in PDF .
1st exam of 2025/26 in PDF .
Solution of 2nd exam 2006/7 in PDF .
Solution of 2nd exam 2012/13 in PDF .
Solution to selected
problems of 1st exam 2021/22 in PDF.
Solution to selected
problems of 1st exam 2022/23 in PDF.
Solution to selected
problems of 1st exam 2024/25 in PDF.
Laboratory Work:
(to be completed throughout the semester)
Floor plan of the laboratory:
click here to see it and click here to see IST
info.
PLC hardware and software manuals:
(i) SW Unity Intro
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(ii) SW Unity
Reference,
(iii) HW IO Module.
Extra SW Unity Standard Library
Reference (available also under the software menu help).
Software for programming PLCs
Going to
use Schneider's Unity Pro V13
https://fenix.tecnico.ulisboa.pt/disciplinas/MAPI3610/2025-2026/2-semestre/---private-information
PLC experiments:
PLC data
logging webpage
(click here)
Software installed in the lab that can also be used at home:
[Instructions for Windows]
1. Install a GIT client https://git-scm.com/downloads
2. In Matlab run the following lines:
% the next line is long (ends at
\mapi)
!git clone https://github.com/josegaspar999/TecnicoULisboa_MAPI.git
c:\users2\mapi
cd c:\users2\mapi\_init_all
login_z_install
login_mapi
% in the future just run login_mapi
% you can see also online the repository: https://github.com/josegaspar999/TecnicoULisboa_MAPI/tree/main
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