Process Identification and Control
Process Control and Identification
All the official information:
https://corsidilaurea.uniroma1.it/user/13070
Academic year 2024-2025
Process control and identification
Period: September 26- December
Credits: 9
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CLASSROOM 2024-2025:
Please register:
https://classroom.google.com/c/NzEzNDk5NjY3OTk5?cjc=2mlqxbi
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Process control and identification – Module 1 (Prof. Iacoviello)
Credits: 4.5
Process control and identification – Module 2 (Prof. Liberati)
Credits: 4.5
Process control and identification – Module 1
PROGRAM 2024-2025 - Module 1
Introduction to identification
Estimation theory
Setting the identification problem
Model selection and validation
ARX, ARMA, ARMAX models
Time series
Case studies
REFERENCES
System identification: course notes prof. Philippe Dreesen, VRIJE Universiteit Brussel
S. Bittanti, Model Identification and Data Analysis, John Wiley, 2019
A.Garulli, A. Giannitrapani, Dispense di identificazione e analisi dati, 2011
L. Ljung, System identification: Theory for the user. Prentice Hall, 1999
A.De Santis, Metodi di identificazione
J. Brownlee, How to Decompose Time Series Data into Trend and Seasonality, Time series, 2017,
https://machinelearningmastery.com/decompose-time-series-data-trend-seasonality/
Dario Radecic: https://towardsdatascience.com/time-series-from-scratch-decomposing-time-series-data-7b7ad0c30fe7
https://online.stat.psu.edu/stat510/book/export/html/685
SLIDES
PIC_1 (last update October 8 2024)
PIC_2 (last update October 9 2024)
PIC_3 (last update October 13 2024)
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EXAM 2023-2024
January 8 2024: Room B2 (via Ariosto 25) 14:00-17:00
February 8 2024 Room B2 (via Ariosto 25) 14:00-17:00
March 18 2024
June 5 2024 Room 13 (Via Eudossiana 18) 10:00-13.00 GRADES
July 4 2024 Room 13 (Via Eudossiana 18) 10:00-13.00
September 5 2024 Room 13 (Via Eudossiana 18) 10:00-13.00 GRADES (the grades will be recorded on Infostud next September 20th; any requests must be received by the 19th)
it is mandatory to register for the exam on infostud
You can have with you 2 pages of formulas for each module
Extraordinary exam date : https://www.uniroma1.it/en/content/exams
6. Extraordinary exam dates. At least two extraordinary exam dates must be scheduled for each teaching, also outside the exam periods referred to in paragraph 4, as well as during class periods, reserved for:
students enrolled fuoricorso;
students enrolled in part-time learning;
students with disabilities;
students with specific learning difficulties (Academic Senate resolution of June 12, 2018);
student-parents with a child/children less than three years old and pregnant students (resolution of the Academic Senate of July 9, 2019) (Academic Senate resolution of July 9, 2019);
students who have attended all three years of the degree programme (Academic Senate resolution of October 13, 2020);
student-athletes, as defined in Art. 25, paragraph 6, of these Regulations (resolution of the Academic Senate of September 14, 2021);
student workers (resolution of the Academic Senate of March 2, 2021) who have performed for at least 60 days, also non-continuous, in the six months prior to the start date of the extraordinary exam period:
paid and contracted activity on behalf of private individuals, including cooperative societies or public bodies;
self-employment activity with or without VAT number;
universal civil service voluntary work in a public or private organisation;
business activity of a commercial, artisanal or agricultural nature.
The students' status as working student must be self-certified and sent from his or her institutional e-mail address to the teacher of the subject and to the student affairs office of their degree programme within 20 days of the start of the extraordinary exam session.
- students enrolled two study courses at the same time, in accordance with Art. 9 of these Regulations (Resolution of the AS 17 January 2023).
October 21 Room B203 (Via Ariosto 25) 9:00-12:00. You can register for the exam up yo October 17
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Academic year 2022-2023
Process control and identification
Period: September 27- December
Credits: 9
Process control and identification – Module 1 (Prof. Iacoviello)
Credits: 4
Process control and identification – Module 2 (Prof. Liberati)
Credits: 3
Process control and identification – Module 3 (Prof. Giuseppi)
Credits: 2
Process control and identification – Module 1
PROGRAM 2021-2022 - Module 1
Introduction to identification
Estimation theory
Setting the identification problem
Model selection and validation
ARX, ARMA, ARMAX models
Time series
Case studies
REFERENCES
System identification: course notes prof. Philippe Dreesen, VRIJE Universiteit Brussel
S. Bittanti, Model Identification and Data Analysis, John Wiley, 2019
A.Garulli, A. Giannitrapani, Dispense di identificazione e analisi dati, 2011
L. Ljung, System identification: Theory for the user. Prentice Hall, 1999
A.De Santis, Metodi di identificazione
J. Brownlee, How to Decompose Time Series Data into Trend and Seasonality, Time series, 2017,
https://machinelearningmastery.com/decompose-time-series-data-trend-seasonality/
Dario Radecic: https://towardsdatascience.com/time-series-from-scratch-decomposing-time-series-data-7b7ad0c30fe7
https://online.stat.psu.edu/stat510/book/export/html/685
EXAM (3 hours)
You must book the exam on Infostud
You can have with you a sheet (2 pages) of formulas for each module
January 9 2023 - Room B2 (via Ariosto 25)- 15:00-18:00 (you can book the exam up to January 7)
February 2 2023- Room B2 (via Ariosto 25)- 14:00-17:00 (you can book the exam up to January 27)
June 1 2023- Room 30 (via Eudossiana 18)- 9:00-12:00
June 30 2023 - Room 10 in San Pietro in Vincoli (Via Eudossiana 18) - 10:00-13:00 ; you can book the exam on Infostud up to June 25.
September 4 2023 - Room 10 in San Pietro in Vincoli (Via Eudossiana 18) - 10:00-13:00 ; you can book the exam on Infostud up to September 1.
October 3 2023- Room A2 (Via Ariosto)- 12:00-15:00; you can book the exam on Infostud up to October 2
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Academic year 2021-2022
Process control and identification
Period: September 27- December
Credits: 9
Process control and identification – Module 1
Period: September 27– October 22 (more or less)
Credits: 3
Prof. Daniela Iacoviello
Process control and identification – Module 2
Period: October 25 – November 16 (more or less)
Credits: 3
Prof. Francesco Liberati
Process control and identification – Module 3
Period: November16- December 20 (more or less)
Credits: 3
Prof. Alessandro Giuseppi
Process control and identification – Module 1
PROGRAM 2021-2022 - Module 1
Introduction to identification
Estimation theory
Setting the identification problem
Model selection and validation
ARX, ARMA, ARMAX models
Time series
Case studies
REFERENCES
System identification: course notes prof. Philippe Dreesen, VRIJE Universiteit Brussel
S. Bittanti, Model Identification and Data Analysis, John Wiley, 2019
A.Garulli, A. Giannitrapani, Dispense di identificazione e analisi dati, 2011
L. Ljung, System identification: Theory for the user. Prentice Hall, 1999
A.De Santis, Metodi di identificazione
J. Brownlee, How to Decompose Time Series Data into Trend and Seasonality, Time series, 2017,
https://machinelearningmastery.com/decompose-time-series-data-trend-seasonality/
Dario Radecic: https://towardsdatascience.com/time-series-from-scratch-decomposing-time-series-data-7b7ad0c30fe7
https://online.stat.psu.edu/stat510/book/export/html/685
Lesson times and classrooms:
https://www.ingegneriagestionale.uniroma1.it/drupal/laureamagistrale/orario-delle-lezioni
Office hours
Send me an e-mail ( daniela.iacoviello@uniroma1.it)
Mailing list:
https://classroom.google.com/c/Mzk3NDI4MDYwMTE1?cjc=oxfjohw
To join the lessons:
Zoom link:
https://www.ing.uniroma1.it/orario-delle-lezioni-e-aule
we will be in Room 15 (Monday, Thursday and Friday) and 24 (Wednesday) (see https://www.ingegneriagestionale.uniroma1.it/drupal/laureamagistrale/orario-delle-lezioni)
EXAM:
Written exam with exercises and questions
There is ONE exam, with exercises and questions on the three parts
THE EXAM MUST BE BOOKED ON INFOSTUD UP TO 3 DAYS BEFORE THE EXAM
Jan 11 2022 - ROOM 5 Via Eudossiana -9:00-13:00
Feb 8 2022 - ROOM 5 Via Eudossiana - 9:00-13:00
March 25 2022 - ROOM A5 Via Ariosto 25- 14:00-17:00
(extraordinary exam: https://www.uniroma1.it/en/notizia/extraordinary-exam-dates-also-open-working-students)
June1 2022 - ROOM: B2 (via Ariosto 25) - 9:00-13:00
July 1 2022 - ROOM: B2 (via Ariosto 25) - 9:00-13:00
Sept 9 2022 - ROOM: 9 (Via Eudossiana 18) - 9:00-13:00
LECTURES
THESE SLIDES ARE NOT SUFFICIENT FOR THE EXAM
YOU MUST STUDY ON THE BOOKS