Journal of Automation and Information Sciences
Erscheint 12 Ausgaben pro Jahr
ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
On the Structural and Parametric Identification under the Limited Uncertainty and Approximating Models of Multidimensional Systems
Volumen 43,
Ausgabe 6, 2011,
pp. 1-15
DOI: 10.1615/JAutomatInfScien.v43.i6.10
ABSTRAKT
The possibility of spread, through appropriate modifications, of the well-known methods of the stochastic identification to multidimensional systems generating the data, which contain a limited uncertainty, was investigated. It is shown that, in general, only an approximating model of the reduced order with the biased estimates of its parameters can be restored correctly. For systems with different structural properties and signal-to-noise ratio it is found how the parameters of the truncated model coordinate with the dynamic characteristics of the investigated object.
399 Artikelansichten
5 Artikel-Downloads
Metriken
Artikel mit ähnlichem Inhalt:
Neueste Ausgabe
Modeling of Configurations Formed when Using Microneedle Systems
Properties of Large Deviations of Empirical Estimates in a Stochastic Optimization Problem for a Homogeneous Random Field
The Dynamics of One Arms Race Mathematical Model with a Delay
Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems
Method for Constructing Primitive Polynomials for Cryptographic Subsystems of Dependable Automated Systems
Complete Asymptotics of Approximations by Certain Singular Integrals in Mathematical Modeling
Index, Volume 52, 2020