Mlinarić, PetarGrundel, SaraBenner, PeterMax-Planck-Institut für Dynamik Komplexer Technischer Systeme2025-05-292016https://epflicht.bibliothek.uni-halle.de/handle/123456789/3924870652990urn:nbn:de:gbv:3:2-645182483120Abstract: In this paper, we extend our clustering-based model order reduction method for multi-agent systems with single-integrator agents to the case where the agents have identical general linear time-invariant dynamics. The method consists of the Iterative Rational Krylov Algorithm, for finding a good reduced order model, and the QR decomposition-based clustering algorithm, to achieve structure preservation by clustering agents. Compared to the case of single-integrator agents, we modified the QR decomposition with column pivoting inside the clustering algorithm to take into account the block-column structure. We illustrate the method on small and large-scale examples.1 Online-Ressource (11 Seiten = 0,29 MB) : Diagrammenghttp://rightsstatements.org/vocab/InC/1.0/510Book