Title :
Properties of a low-frequency approximation balancing method of model reduction
Author_Institution :
Ford Motor Co., Melvindale, MI, USA
fDate :
5/1/1994 12:00:00 AM
Abstract :
This correspondence describes a balancing technique of model reduction which is characterized by exactness at zero frequency. Various interesting properties and error bounds of the reduced-order model are derived in a rigorous manner. A critical comparison is made to Moore´s reduced model (1981) obtained by direct truncation. An illustrative numerical example is included
Keywords :
approximation theory; large-scale systems; modelling; direct truncation; error bounds; exactness; low-frequency approximation balancing method; model reduction; zero frequency; Acoustic measurements; Acoustic sensors; Econometrics; Frequency; Hidden Markov models; Noise cancellation; Parameter estimation; Reduced order systems; Speech; Stochastic resonance;
Journal_Title :
Automatic Control, IEEE Transactions on
