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
Robust Methods of Ellipsoidal Estimation of Dynamical Systems State under Restrictions on Noise of Output Measurements and Rate of their Variation
Volume 40,
Issue 10, 2008,
pp. 38-46
DOI: 10.1615/JAutomatInfScien.v40.i10.30
ABSTRACT
We obtained new robust algorithms of ellipsoidal estimate of the vector of state of dynamical systems by the results of measurement of their outputs, which are distorted by additive noise. In contrast to known algorithms, which account only boundedness of noises, we additionally take into account boundedness of rate of their variation. Efficiency of the obtained algorithms is shown by results of computer modeling of their use in the problem of control of orbital spacecraft orientation.
CITED BY
-
Sergienko Ivan V., Optimization Methods for Solving Problems of Transcomputational Complexity, in Topical Directions of Informatics, 78, 2014. Crossref
408 Article views
9 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