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227-0690-11L 4 Credits DR , MSC D-HEST , D-MAVT , D-PHYS , D-INFK , D-MATH , D-ITET

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Advanced Topics in Control (Spring 2020)

Lecturers & Examiners: Dr. Goran Banjac

New topics are introduced every year.

VVZ CR 4.0

Last Updated: 2026-02-05 15:42:08

Abstract

Advanced Topics in Control (ATIC) covers advanced research topics in control theory. It is offered each Spring semester with the topic rotating from year to year. Repetition for credit is possible, with consent of the instructor.

Objective

During Spring 2020 the course will cover a range of topics in large-scale convex optimization. The students should be able to apply various numerical methods to solve large-scale optimization problems arising in control, machine learning, signal processing, and finance.

Content

Convex analysis and methods for large-scale optimization. Topics will include: convex sets and functions ; duality theory ; optimality and infeasibility conditions ; structured optimization problems ; gradient-based methods ; operator splitting methods ; distributed and decentralized optimization ; applications in various research areas.

Resources

Lecture Notes

Copies of the projection slides will be made available on the course Moodle platform.

Literature

The course will be largely based on the Large-Scale Convex Optimization course taught at Lund University: https://archive.control.lth.se/ls-convex-2015/

General Information

Language: English
Levels: DR , MSC
Frequency: Yearly recurring

Examination

Type: graded semester performance

Course Components

Type	Title	Time & Place	Hours
lecture	Advanced Topics in Control (Spring 2020)	Tue 16:15-18:00 (HG F 1)	2 h weekly
exercise	Advanced Topics in Control (Spring 2020)	Fri 10:15-12:00 (CAB G 61)	2 h weekly

Offered In

Mechanical Engineering Master
- Core Courses
  - Robotics, Systems and Control (The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor. .)
Biomedical Engineering Master
- Major Courses
  - Bioelectronics
    - Recommended Elective Courses (These courses are particularly recommended for the Bioelectronics track. Please consult your track adviser if you wish to select other subjects.)
Computational Science and Engineering Master
- Fields of Specialization
  - Systems and Control
Electrical Engineering and Information Technology Master
- Master Studies (Programme Regulations 2018)
  - Systems and Control (The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Systems and Control", see . The individual study plan is subject to the tutor's approval.)
    - Core Courses (These core courses are particularly recommended for the field of "Systems and Control". You may choose core courses form other fields in agreement with your tutor. A minimum of 24 credits must be obtained from core courses during the MSc EEIT.)
      - Advanced Core Courses
- Master Studies (Programme Regulations 2008)
  - Major Courses (A total of 42 CP must be achieved form courses during the Master Program. The individual study plan is subject to the tutor's approval.)
    - Systems and Control
      - Core Subjects (These core subjects are particularly recommended for the field of "Systems and Control".)
Robotics, Systems and Control Master
- Core Courses
Doctoral Dep. of Information Technology and Electrical Engineering (More Information at: )
- Doctoral and Post-Doctoral Courses (A minimum of 12 ECTS credit points must be obtained during doctoral studies. The courses on offer below are but a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.)