Robust Control


The main objective of this course is the analysis of systems where the parameters are not known exactly but are within known intervals. One of the most useful qualities of a properly designed feedback control system is robustness, i.e., the ability of the closed-loop system to continue performing satisfactorily despite large variations in the (open-loop) plant dynamics. The aim of the course is to teach the student how to analyze and design a robust control system. Topics covered: paradigms for robust control; robust stability and measures of robust performance; analysis of robust stability and performance; design for robust stability and performance.
Robust stability with a single parameter, Kharitonov’s Theorem, the value set concept, polytopes of polynomials, the edge theorem, distinguished edges, the sixteen plant theorem, multilinear uncertainty structures, spherical polynomial families, and survey of design methods for robust control, application of design methods for unstructured and structured uncertainty on an example plant.

Course Coordinators

Credit Units (ECTS): 
Β15, 0848