Conference Proceedings

Reduced order approximation in the v-gap metric

Gavin Buskes, Michael Cantoni

PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 | IEEE | Published : 2007

Abstract

Most model order reduction techniques involve measures of approximation error that reflect differences in open-loop behaviour. Within the context of feedback compensator design, however, it is arguably more important to measure approximation error in terms of the difference in behaviour when in closed-loop. The gap metric and its variants are known to capture the difference between open-loop systems in terms of closed-loop behaviour. In this paper, we consider an order reduction problem in which the approximation error is quantified using the ν-gap metric. In particular, a characterisation of when a fixed-order model lies within a specified ν-gap distance of a nominal full-order model is obt..

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