Adaptive model order reduction for structures fed by dispersive waveguide modes

This paper presents a self-adaptive reduced-basis method for driven microwave problems which incorporates the frequency-dependent mode patterns and dispersive propagation coefficients of inhomogeneous waveguides. A reduced-order model provides a low-dimensional subspace for approximating the relevant waveguide modes over the considered frequency range. That information is exploited to establish affine parameter-dependence in the three-dimensional driven model, which hereby becomes accessible to projection-based model-order reduction.