Journal of Automation and Information Sciences
Published 12 issues per year
ISSN Print: 1064-2315
ISSN Online: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
On One Approach to a Problem of Measurement Processing by Using Calibration Signals Based on Multi-Criteria Optimization
Volume 33,
Issue 9, 2001,
8 pages
DOI: 10.1615/JAutomatInfScien.v33.i9.50
ABSTRACT
Two methods of linear functional value estimation by noised values of other linear functionals with unknown kernels have been developed using multi-criteria optimization idea. The behavior of optimization criteria under variation of pareto-optimum parameter are analyzed and the results are presented. Estimation quality and speed of these two methods were compared. Estimation quality dependence on quantity of test signals was shown. Some problems of pareto-optimum parameter choice were solved. Model problem program-solved results using the developed methods were submitted.
479 Article views
2 Article downloads
Metrics
Articles with similar content:
Latest Issue
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