Nonlinear dynamic system kernel based reconstruction from time series data
Дата
2015
DOI
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Назва журналу
Номер ISSN
Назва тому
Видавець
ТВіМС
Анотація
A unified approach to reccurent kernel identification algorithms design is proposed. In order to fix the auxiliary vector dimension, the reduced order model kernel method is proposed and proper reccurent identification algorithms are designed.
Опис
Ключові слова
time-series data, kernel method, identification algorithm, intelligent data analysis
Бібліографічний опис
Lyubchyk L. M. Nonlinear dynamic system kernel based reconstruction from time series data / L. M. Lyubchyk, V. A. Kolbasin, G. L. Grinberg // Problems of Decision Making under Uncertainties (PDMU–2015) : XXV International Conference, may 11-16 2015, pp. 34-35.