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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2021/2022

Linear Matrix Inequalities

The course is not on the list Without time-table
Code Completion Credits Range
EP35LMI ZK 4 2P+2S
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Department of Control Engineering
Synopsis:

Semidefinite programming or optimization over linear matrix inequalities

(LMIs) is an extension of linear programming to the cone of positive

semidefinite matrices. LMI methods are an important modern tool in systems

control and signal processing.

Theory: Convex sets represented via LMIs; LMI relaxations for solution of

non-convex polynomial optimization problems; Interior-point algorithms to

solve LMI problems; Solvers and software; LMIs for polynomial mehods in

control.

Control applications: robustness analysis of linear and nonlinear systems;

design of fixed-order robust controllers with H-infinity specifications.

For more information, see http://www.laas.fr/~henrion/courses/lmi

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No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2022-08-08
For updated information see http://bilakniha.cvut.cz/en/predmet11756004.html