Input design to maximize information for MIMO system identification

A4 Konferenspublikationer

Interna författare/redaktörer

Publikationens författare: Kurt E. Häggblom
Förlagsort: Piscataway, New Jersey, USA
Publiceringsår: 2019
Förläggare: IEEE
Moderpublikationens namn: Proc. 12th Asian Control Conference
Seriens namn: Asian Control Conference (ASCC)
Nummer i serien: 12
Artikelns första sida, sidnummer: 1323
Artikelns sista sida, sidnummer: 1328
ISBN: 978-4-88898-300-6


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.


data-based design, experiment design, ill-conditioned systems, multivariable systems, system identification

Senast uppdaterad 2020-21-02 vid 02:45