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FEL3500 Introduction to Model Order Reduction 7.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FEL3500 (Autumn 2008–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

There are nine lectures in the course:

Lecture 1: Introduction. The model-order-reduction problem. Examples.

Lecture 2: Model truncation, singular perturbation.

Lecture 3: Linear systems: POD/PCA/SVD-based simplification

Lecture 4: Linear systems: Gramians and balanced realizations

 Lecture 5: Linear systems: Balanced truncation and weighted extensions.

 Lecture 6: Applications: Controller and nonlinear model reduction.

Lecture 7: Optimal model reduction: Hankel norm approximation.

Lecture 8: System identification and model reduction in H2-norm (guestlecture).

Lecture 9: Summary

Intended learning outcomes

After finishing the course, the student will

  • be able to distinguish between hard and simple model reduction problems
  • be able to apply standard model reduction techniques such as POD/PCA/SVD to examples that are relevant to the student
  • understand the interplay between controllability, observability and model reduction
  • know the theory behind balanced truncation and Hankel norm approximation
  • be able to reduce the order of linear feedback and feedforward controllers while taking the overall system performance into account.

Literature and preparations

Specific prerequisites

This is a graduate level course, but last-year/advanced undergraduate students may also be admitted.

Recommended prerequisites

In order to do well in the course, basic knowledge of state-space methods in systems and controls, linear algebra, and some previous experience with Matlab programming is desirable.

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

    Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

    The examiner may apply another examination format when re-examining individual students.

    Other requirements for final grade

    To pass, the student needs to complete:

    1. at least 75% of the turn-in problems.

    2. a smaller project with an approved report.

    3. a take-home exam.

    Opportunity to complete the requirements via supplementary examination

    No information inserted

    Opportunity to raise an approved grade via renewed examination

    No information inserted

    Examiner

    Ethical approach

    • All members of a group are responsible for the group's work.
    • In any assessment, every student shall honestly disclose any help received and sources used.
    • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

    Further information

    Course room in Canvas

    Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

    Offered by

    Main field of study

    This course does not belong to any Main field of study.

    Education cycle

    Third cycle

    Add-on studies

    No information inserted

    Contact

    Henrik Sandberg

    Postgraduate course

    Postgraduate courses at EES/Automatic Control