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Journal of Automation and Information Sciences

年間 12 号発行

ISSN 印刷: 1064-2315

ISSN オンライン: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Study of Convergence of One-Step Adaptive Identification Algorithms

巻 50, 発行 10, 2018, pp. 60-76
DOI: 10.1615/JAutomatInfScien.v50.i10.50
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要約

The question of convergence of the regularized one-step adaptive algorithms of Kaczmarz and Nagumo–Noda, used for solving the identification problem, is studied. Estimates of the rate of algorithms convergence are obtained, and it is shown that the introduction of the regularization parameter together with improving the computational stability of the algorithms slightly retards the process of identification. The presence of information about statistical properties of useful signals and interferences enables the selection of the algorithm parameters providing their maximum convergence rate.

によって引用された
  1. Rudenko Oleg G., Bezsonov Oleksandr O., ADALINE Robust Multistep Training Algorithm, Control Systems and Computers, 3 (287), 2020. Crossref

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