Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties
2000 (English)Report (Other academic)
A straightforward framework for identification oriented robust controller design is presented. The model set, directly identified from data, is based on model error modeling and model validation techniques. The set of all robustly stabilizing controllers, that additionally guarantee robust performance, is characterized by a system of second order cones, which can be efficiently solved using interior point algorithms. We illustrate the proposed method and the choice of the parameters with an example. Moreover, the interplay between identification and controller design can be analyzed in this framework.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2000. , 15 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2319
Identication for Control, Model Error Modeling, Robust Stability and Performance, Rank One Uncertainties.
IdentifiersURN: urn:nbn:se:liu:diva-55765ISRN: LiTH-ISY-R-2319OAI: oai:DiVA.org:liu-55765DiVA: diva2:316567