- PII
- 10.31857/S0005231023010026-1
- DOI
- 10.31857/S0005231023010026
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume / Issue number 1
- Pages
- 23-62
- Abstract
- A generalization of the dynamic regressor extension and mixing procedure is proposed, which, unlike the original procedure, first, guarantees a reduction of the unknown parameter identification error if the requirement of regressor semi-finite excitation is met, and second, it ensures exponential convergence of the regression function (regressand) tracking error to zero when the regressor is semi-persistently exciting with a rank one or higher.
- Keywords
- идентификация линейная регрессия конечное возбуждение частичное возбуждение параметрическая ошибка сходимость ограниченность монотонность сингулярное разложение
- Date of publication
- 15.01.2023
- Year of publication
- 2023
- Number of purchasers
- 0
- Views
- 8
References
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