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Parametric Identifiability in Serially Connected Linear Dynamic Systems Тезисы доклада

Конференция Russian-Chinese Conference "Differential and Difference Equations"
31 окт. - 6 нояб. 2025 , Новосибирск, НГУ
Сборник Russian-Chinese Conference "Differential and Difference Equations". Abstracts
Сборник, Novosibirsk State University. Novosibirsk.2025. 160 c. ISBN 978-5-4437-1832-3.
Вых. Данные Год: 2025, Страницы: 88 Страниц : 1
Авторы Lomov A.A. 1,2
Организации
1 Sobolev Institute of Mathematics
2 Novosibirsk State University

Информация о финансировании (1)

1 Институт математики им. С.Л. Соболева СО РАН FWNF-2022-0008

Реферат: The report concerns the conditions of parametric identifiability of series-connected multidimensional linear dynamical systems, represented by observations of input and output variables [1,2] without observations of internal variables of the series connection. The problem is reduced to the special case of a single system with additive terms in system input and output from a linear manifold defined by a parameter-dependent basis matrix. The case of parameter-independent basis matrix was studied in [3,4], so this work is based on [3,4] and develops those results.
Библиографическая ссылка: Lomov A.A.
Parametric Identifiability in Serially Connected Linear Dynamic Systems
В сборнике Russian-Chinese Conference "Differential and Difference Equations". Abstracts. – Novosibirsk State University., 2025. – C.88. – ISBN 978-5-4437-1832-3.
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