Abstract
A newly proposed method of frequency-weighted model reduction for single-input–single-output (SISO) linear continuous-time systems is proposed. It is based on matching the elements of the limited frequency interval impulse response Gramian (IRG). A numerical example is given to illustrate the method, which is then compared with other well-known model reduction methods.
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