Multipoint model order reduction for systems with delays

An adaptive frequency sampling algorithm is proposed in this paper to automate the generation of reduced order models for systems with delays which can be represented as frequency dependent state-space matrices. Reflective exploration technique is used to obtain an optimum number of frequency samples for which the reduced state-space matrices per frequency is computed using a common projection matrix and is then interpolated to obtain the frequency response. The algorithm is illustrated using a numerical example.