Title :
Reduction of linear continuous-time multivariable systems by matching first- and second-order information
Author :
Krajewski, Wieslaw ; Lepschy, Antonio ; Viaro, Umberto
Author_Institution :
Syst. Res. Inst., Polish Acad. of Sci., Warsaw, Poland
fDate :
10/1/1994 12:00:00 AM
Abstract :
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 from an equal number of first- and second-order data
Keywords :
Markov processes; modelling; multivariable systems; stability; I/O model; Markov parameters; first-order information matching; input-output model; linear continuous-time multivariable system reduction; second-order information indexes; second-order information matching; stable continuous-time multivariable linear systems approximation; Artificial intelligence; Autocorrelation; Covariance matrix; Informatics; Linear systems; MIMO; Observability; Transfer functions;
Journal_Title :
Automatic Control, IEEE Transactions on
