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On Numerically Verifiable Exactness of Multiplier Relaxations

Author:Scherer Carsten W., Delft University of Technology, Netherlands
Topic:2.5 Robust Control
Session:Fundamentals of Robust Control
Keywords: Robust semi-definite programming, relaxations, S-procedure, exactness tests, linear matrix inequalities

Abstract

Robust semi-definite programming problems with rationaldependence on uncertainties are known to have a wide rangeof applications, in particular in robust control.It is well-established how to systematically constructrelaxations on the basis of the full block S-procedure. Ingeneral such relaxations are expected to be conservative,but for concrete problem instances they are often observedto be tight. The main purpose of this paper is to investigatedin how far recently suggested tests for the exactnessof such relaxations are indeed numerically verifiable.