Non-intrusive nonlinear and parameter varying reduced order modelling

In this paper, we are interested in deriving a non-intrusive numerical approach to construct nonlinear and linear parameter varying reduced order models from data. More specifically, based on data collected stable non-linear time-domain simulator or experimental bench, show how can infer either (quasi) dependent model. The proposed is very recent procedure called MII for Mixed Interpolation Inference, involving three steps: pencil method, interpolation model inference. complete process illustrated polynomial Duffing oscillator use-case showing be obtained raw