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

Robust Control and Convex Optimisation

Does not take place this semester.
VVZ CR n/a

Last Updated: 2026-06-03 00:14:16

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