Reduction of linear continuous-time multivariable systems by matching first- and second-order information

This paper considers the approximation of stable continuous-time multivariable linear systems from a finite number of Markov parameters and second-order information indexes. It is shown that, by properly choosing these indexes, it is possible to uniquely identify an input-output model of given order...

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Veröffentlicht in:	IEEE transactions on automatic control 1994-10, Vol.39 (10), p.2126-2129
Hauptverfasser:	Krajewski, W., Lepschy, A., Viaro, U.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Autocorrelation Covariance matrix Informatics Linear systems MIMO Observability Transfer functions
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