Journal of Automation and Information Sciences
Выходит 12 номеров в год
ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
On an Approach to Identification of Dynamic Systems Under Uncertainty
Том 32,
Выпуск 3, 2000,
pp. 29-36
DOI: 10.1615/JAutomatInfScien.v32.i3.40
Краткое описание
The authors discuss an approach, one of those appropriate, to identification of multidimensional systems under unknown bounded errors in a priori given data. The ideas and methods of the theory of ill-defined mathematical problems are applied in the paper to simultaneous state estimation and parameter identification. The authors introduce a smoothing functional as a fit-test criterion for a model and analyze the functional properties. A modified criterion including a regularization item is applied in order to avoid the difficulties that arise with model selection and overparametrization.
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Index, Volume 52, 2020