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227-0690-13L 4 Credits DR , MSC D-ERDW , D-MAVT , D-INFK , D-MATH , D-PHYS , D-ITET

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Robust Control and Convex Optimisation

Does not take place this semester.

VVZ CR n/a

Last Updated: 2026-06-01 11:33:18

Abstract

Robust control theory addresses the problem of analysing and designing feedback systems that achieve performance objectives in the presence of uncertainty in the dynamics of the system. Convex optimisation forms the basis of the computational tools needed to solve these problems. The course covers the theory, computation, and practical applic. of these methods to a variety of uncertain systems.

Objective

To introduce students to the basic concepts in robust control and provide them sufficiently familiarity with the computational tools required to design robust controllers with verifiable characteristics in a variety of engineering system domains.

Content

An optimization based approach to robust control theory and applications. Topics will include: H-infinity and H-2 control design; structured-singular value analysis and synthesis; model reduction; convex optimization; semi-definite programming; and interior-point methods.

General Information

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

Examination

Type: graded semester performance

Course Components

Type	Title	Time & Place	Hours
lecture	Robust Control and Convex Optimisation Does not take place this semester.	No time listed	2 h weekly
exercise	Robust Control and Convex Optimisation Does not take place this semester.	No time listed	1 h weekly

Offered In

Rechnergestützte Wissenschaften Master
- Vertiefungsgebiete
  - Systems and Control
Elektrotechnik und Informationstechnologie Master
- Master-Studium (Studienreglement 2018)
  - Vertiefung: 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.)
    - Kernfächer (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-Studium (Studienreglement 2008)
  - Fächer der Vertiefung (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. Semester / Research Projects are not allowed in this category.)
    - Systems and Control
      - Kernfächer (Diese Fächer sind besonders Empfohlen, um sich in "Systems and Control" zu vertiefen.)
Robotics, Systems and Control Master
- Kernfächer
Doktorat Informationstechnologie und Elektrotechnik (A minimum of 12 ECTS credit points must be obtained during doctoral studies (also see sub-categories for details) More Information at )
- Vertiefung Fachwissen (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.)
Space Systems Master
- Fachspezifische Vertiefung (Es müssen mindestens 20 KP aus den Deep Track Lerneinheiten absolviert werden. Überzählige KP können für Wahlfächer angerechnet werden.)
  - Robotics
    - Vertiefungsfächer Robotics (Diese LE's können sowohl als Vertiefungsfach als auch als Wahlfach angerechnet werden.)