Identification and model reduction from impulse response data

摘要: Two new algorithms for identification and model reduction of stable linear continuous systems are proposed, based on the weighted impulse response gramians (Agathoklis Sreeram 1988 b). In identification, parameters obtained from solution a system equations with coefficients numerical evaluation gramians. The technique is retaining part original as solutions to Lyapunov equation in controllability canonical form. This yields different models values weighting factor. corresponding zero factor matches norm its derivatives exactly. Finally, method illustrated by example compared well-known balanced realization techniques.