TY - GEN
T1 - Input design to maximize information for identification of MIMO systems
AU - Häggblom, Kurt Erik
N1 - rt.
Date Added to IEEE Xplore: 18 July 2019
USB ISBN: 978-4-88898-301-3
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Har kontaktat [email protected] den 26.2.2020/LN
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PY - 2019
Y1 - 2019
N2 - A new input design method for identification of multiple-input multiple-output (MIMO) systems is introduced. The method is completely data based as opposed to previous model-based methods. The data are obtained from one or more experiments with the system to be identified. These experiments do not require any MIMO input design. The design objective is to generate maximally informative data when a new experiment based on MIMO input design is done. The data are considered to be maximally informative when the outputs have maximal variance, subject to some constraints, and no correlation. Since the input design, with given type of perturbation signal, is not unique, it is possible to optimize some additional property, such as minimization of input or output peak value. The various design options are illustrated by application to a system with three inputs and three outputs.
AB - A new input design method for identification of multiple-input multiple-output (MIMO) systems is introduced. The method is completely data based as opposed to previous model-based methods. The data are obtained from one or more experiments with the system to be identified. These experiments do not require any MIMO input design. The design objective is to generate maximally informative data when a new experiment based on MIMO input design is done. The data are considered to be maximally informative when the outputs have maximal variance, subject to some constraints, and no correlation. Since the input design, with given type of perturbation signal, is not unique, it is possible to optimize some additional property, such as minimization of input or output peak value. The various design options are illustrated by application to a system with three inputs and three outputs.
KW - data-based design
KW - experiment design
KW - ill-conditioned systems
KW - multivariable systems
KW - system identification
KW - data-based design
KW - experiment design
KW - ill-conditioned systems
KW - multivariable systems
KW - system identification
KW - data-based design
KW - experiment design
KW - ill-conditioned systems
KW - multivariable systems
KW - system identification
M3 - Konferensbidrag
SN - 978-1-7281-0263-4
SP - 1323
EP - 1328
BT - 2019 12th Asian control conference (ASCC)
PB - IEEE
T2 - Asian Control Conference
Y2 - 9 June 2019 through 12 June 2019
ER -