Frequency weighted model reduction via Quasi-Kalman decomposition

A frequency weighted model reduction method based on Quasi-Kalman decomposition is proposed for discrete systems. The method is essentially an extension of the technique in [9] to the frequency weighted case and can handle both single-sided as well as double-sided weights. An illustrative example show the effectiveness of the method and results are compared with the method developed in [3].