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- W2728425873 abstract "Abstract A multi-input, multi-output system, described by input-output polynomial matrices, can be decomposed into m multi-input, single-output subsystems, where m is the number of outputs . When these subsystems can be decomposedin Si single-input, single-output subsubsystems, where Si is the number of subsystem inputs, we get three advantages in identification. a) minimal number of parameters must be identified b) parameters have a direct system meaning and c) there's no false common pole estimation in z-domain A disadvantage is the unmeasurable subsubsystem output, which must be estimated. A procedure is suggested, which, based on the idea of the InstrumentalVariable method, estimates the subsubsystem outputs in a recursive way. Usingthese estimated outputs and the measured inputs, MIMO-identification is reduced to SISO-identifications. An on-line algorithm will be described, which use the fast calculation of gain matrices." @default.
- W2728425873 created "2017-07-14" @default.
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- W2728425873 date "1979-09-01" @default.
- W2728425873 modified "2023-09-26" @default.
- W2728425873 title "Recursive Identification of Multi-Input, Multi-Output Systems" @default.
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- W2728425873 doi "https://doi.org/10.1016/s1474-6670(17)65447-8" @default.
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