Schur balanced approach for frequency weighted model reduction

In this paper a frequency weighted model order reduction technique is proposed which coalesce Schur balanced truncation [7] with Lin & Chiu´s frequency weighted technique [9]. It presents simple, elegant and numerically robust algorithm which produces a stable reduced order model with input, output and double sided weighting functions. Numerical example, simulation results and comparison show the effectiveness of proposed technique over existing techniques [8], [9], [12], [13].