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APPLICATION OF MARKOV-PROCESS THEORY TO THE ANALYSIS OF ADAPTATION-ALGORITHM DYNAMICS. / Derevitskii, D. P.; Fradkov, A. L.

в: Automatic Control and Computer Sciences, Том 8, № 2, 1974, стр. 32-40.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Derevitskii, DP & Fradkov, AL 1974, 'APPLICATION OF MARKOV-PROCESS THEORY TO THE ANALYSIS OF ADAPTATION-ALGORITHM DYNAMICS.', Automatic Control and Computer Sciences, Том. 8, № 2, стр. 32-40.

APA

Derevitskii, D. P., & Fradkov, A. L. (1974). APPLICATION OF MARKOV-PROCESS THEORY TO THE ANALYSIS OF ADAPTATION-ALGORITHM DYNAMICS. Automatic Control and Computer Sciences, 8(2), 32-40.

Vancouver

Derevitskii DP, Fradkov AL. APPLICATION OF MARKOV-PROCESS THEORY TO THE ANALYSIS OF ADAPTATION-ALGORITHM DYNAMICS. Automatic Control and Computer Sciences. 1974;8(2):32-40.

Author

Derevitskii, D. P. ; Fradkov, A. L. / APPLICATION OF MARKOV-PROCESS THEORY TO THE ANALYSIS OF ADAPTATION-ALGORITHM DYNAMICS. в: Automatic Control and Computer Sciences. 1974 ; Том 8, № 2. стр. 32-40.

BibTeX

@article{9f041a0147a846f5b0ee5bacb417eaa8,
title = "APPLICATION OF MARKOV-PROCESS THEORY TO THE ANALYSIS OF ADAPTATION-ALGORITHM DYNAMICS.",
abstract = "An approach to the analysis of adaptation-algorithm dynamics is considered. It consists of constructing approximate models of the algorithms. A formal definition of the adaptive system is given. The models described are employed to investigate the dynamics of a no-search gradient algorithm, as well as a random-search algorithm. Estimates are obtained for the practical rate of convergence of these algorithms in the problem of adaptive identification of a static object.",
author = "Derevitskii, {D. P.} and Fradkov, {A. L.}",
year = "1974",
language = "English",
volume = "8",
pages = "32--40",
journal = "Automatic Control and Computer Sciences",
issn = "0146-4116",
publisher = "Springer Nature",
number = "2",

}

RIS

TY - JOUR

T1 - APPLICATION OF MARKOV-PROCESS THEORY TO THE ANALYSIS OF ADAPTATION-ALGORITHM DYNAMICS.

AU - Derevitskii, D. P.

AU - Fradkov, A. L.

PY - 1974

Y1 - 1974

N2 - An approach to the analysis of adaptation-algorithm dynamics is considered. It consists of constructing approximate models of the algorithms. A formal definition of the adaptive system is given. The models described are employed to investigate the dynamics of a no-search gradient algorithm, as well as a random-search algorithm. Estimates are obtained for the practical rate of convergence of these algorithms in the problem of adaptive identification of a static object.

AB - An approach to the analysis of adaptation-algorithm dynamics is considered. It consists of constructing approximate models of the algorithms. A formal definition of the adaptive system is given. The models described are employed to investigate the dynamics of a no-search gradient algorithm, as well as a random-search algorithm. Estimates are obtained for the practical rate of convergence of these algorithms in the problem of adaptive identification of a static object.

UR - http://www.scopus.com/inward/record.url?scp=0016315410&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0016315410

VL - 8

SP - 32

EP - 40

JO - Automatic Control and Computer Sciences

JF - Automatic Control and Computer Sciences

SN - 0146-4116

IS - 2

ER -

ID: 97268664