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SYSTEM IDENTIFICATION

CODE 80186
ACADEMIC YEAR 2021/2022
CREDITS
  • 5 cfu during the 1st year of 10635 ROBOTICS ENGINEERING (LM-32) - GENOVA
  • 4 cfu during the 2nd year of 10635 ROBOTICS ENGINEERING (LM-32) - GENOVA
  • 6 cfu during the 1st year of 11160 COMPUTER ENGINEERING (LM-32) - GENOVA
  • 5 cfu during the 2nd year of 8732 INGEGNERIA ELETTRONICA (LM-29) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04
    LANGUAGE English
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    TEACHING MATERIALS AULAWEB

    AIMS AND CONTENT

    LEARNING OUTCOMES

    The goal of the course is to provide methodologies and tools for designing systems’ models to be used for control, estimation, diagnosis, prediction, etc. Different identification methods are considered, both in a “black box” context (where the structure of the system is unknown), as well as in a “grey box” (uncertainty on parameters) one. Methods are provided for choosing the complexity of the models, for determining the values of their parameters, and to validate them. Moreover, state estimation problems are addressed and their connections with control and identification are considered.

    SYLLABUS/CONTENT

    Different models for dynamic systems and their applications.
    - Parametric and non-parametric models
    - Identification techniques for linear models.
    - Nonlinear models. Examples and identification methods.
    - Validation procedures.
    - Introduction to state estimation.
    - State estimation in the presence of disturbances.
    - Kalman filter and its extension to the nonlinear case.
    - Techniques for parameter identification of linear systems in the presence of disturbances.

    RECOMMENDED READING/BIBLIOGRAPHY

    L. Ljung, “System Identification: Theory for the User”, Prentice Hall
    Y. Bar-Shalom, X. R. Li, T. Kirubarajan, “Estimation with Applications to Tracking and Navigation”, John Wiley & Sons

    Further readings will be given by lecturer

    TEACHERS AND EXAM BOARD

    Exam Board

    MARCO BAGLIETTO (President)

    GIOVANNI INDIVERI

    GIORGIO CANNATA (President Substitute)

    LESSONS

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    Oral

    ASSESSMENT METHODS

    After completing this course the students will be able to:
    - design models for dynamic systems from input/output data
    - implement algorithms for state estimation

    Exam schedule

    Date Time Location Type Notes
    10/01/2022 09:00 GENOVA Orale
    25/01/2022 09:00 GENOVA Orale
    17/02/2022 09:00 GENOVA Orale
    08/06/2022 09:00 GENOVA Orale
    23/06/2022 09:00 GENOVA Orale
    08/07/2022 09:00 GENOVA Orale
    12/09/2022 09:00 GENOVA Orale