Dissipativity-preserving model reduction based on generalized singular perturbation
2013 (English)In: 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), IEEE conference proceedings, 2013, 5540-5545 p.Conference paper (Refereed)
In this paper, we develop a dissipativity-preserving model reduction method based on a generalized singular perturbation approximation. This model reduction framework can deal with not only standard singular perturbation approximation but also projection-based model reduction as a special case. To develop such a model reduction method, we investigate a condition under which system dissipativity is appropriately preserved through the approximation. Moreover, deriving a novel factorization of the error system in the Laplace domain, we derive an a priori error bound in terms of the H2-norm. The efficiency of the model reduction is shown through an example of interconnected second-order systems.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 5540-5545 p.
, IEEE Conference on Decision and Control. Proceedings, ISSN 0743-1546
Laplace domains, Model reduction, Model reduction method, Priori error bounds, Projection-based model reductions, Second-order systemss, Singular perturbation approximation, Singular perturbations, Control
IdentifiersURN: urn:nbn:se:kth:diva-150868DOI: 10.1109/CDC.2013.6760762ISI: 000352223506045ScopusID: 2-s2.0-84902354953ISBN: 978-146735717-3OAI: oai:DiVA.org:kth-150868DiVA: diva2:745843
52nd IEEE Conference on Decision and Control, CDC 2013, 10 December 2013 through 13 December 2013, Florence, Italy
QC 201409112014-09-112014-09-112015-12-08Bibliographically approved