Schulze, PhilippUnger, Benjamin2016-01-122016-01-122015https://depositonce.tu-berlin.de/handle/11303/5243http://dx.doi.org/10.14279/depositonce-4937We present a data-driven realization for systems with delay, which generalizes the Loewner framework. The realization is obtained with low computational cost directly from measured data of the transfer function. The internal delay is estimated by solving a least-square optimization over some sample data. Our approach is validated by several examples, which indicate the need for preserving the delay structure in the reduced model.en518 Numerische Analysisdata-driven model reductiondelay systemsLoewner frameworkmoment matchingtangential interpolationdelay recoverystructure-preserving model reductionResearch Paper