Process Identification and Control
Process Control and Identification
All the official information:
https://corsidilaurea.uniroma1.it/user/13070
Academic year 2023-2024
Process control and identification
Period: September 25- December
Credits: 9
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CLASSROOM:
Please register:
https://classroom.google.com/c/NjI0NTkzNzI3OTgw?cjc=rmy2h3h
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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 2023-2024 - 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
January 8 2024: Room B2 (via Ariosto 25) 14:00-17:00
February 8 2024 Room B2 (via Ariosto 25) 14:00-17:00
it is mandatory to register for the exam on infostud
You can have with you 2 pages of formulas for each module
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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