Model reduction with preserved uncertainty bounds

An approach is presented for model reduction of uncertain systems given in a transfer function form. The uncertainty is given as bounds on the numerator and denominator polynomial coefficients. The reduced model preserves the original system stability, minimum-phase property and degree of uncertainty. The approach is based on the interlacing frequency-bands concept developed in the context of robustness of perturbed polynomials