Method of adaptive filtering in the problem of restoring parameters of cosmic radiation
- Авторлар: Afanas’ev V.N.1, Kaperko A.F.1, Kulagin V.P.1, Kolyubin V.A.2
- 
							Мекемелер: 
							- Moscow Institute of Electronics and Mathematics at the National Research University “Higher School of Economics,”
- Production and Technical Center “UralAlmazhInvest,”
 
- Шығарылым: Том 78, № 3 (2017)
- Беттер: 397-411
- Бөлім: Nonlinear Systems
- URL: https://journals.rcsi.science/0005-1179/article/view/150553
- DOI: https://doi.org/10.1134/S000511791703002X
- ID: 150553
Дәйексөз келтіру
Аннотация
For the space transport systems with a long uptime, consideration was given to the method of adaptive filtering in the problem of restoring the parameters of cosmic radiation flows from the measurement data. Proposed were a mathematical model and an algorithm for optimization of the nonstationary control systems whose state is measured against the noisy background. The algorithms of parametric optimization were based on a modified Wiener–Hopf equation and sensitivity functions.
Авторлар туралы
V. Afanas’ev
Moscow Institute of Electronics and Mathematics at the National Research University “Higher School of Economics,”
							Хат алмасуға жауапты Автор.
							Email: afanval@mail.ru
				                					                																			                												                	Ресей, 							Moscow						
A. Kaperko
Moscow Institute of Electronics and Mathematics at the National Research University “Higher School of Economics,”
														Email: afanval@mail.ru
				                					                																			                												                	Ресей, 							Moscow						
V. Kulagin
Moscow Institute of Electronics and Mathematics at the National Research University “Higher School of Economics,”
														Email: afanval@mail.ru
				                					                																			                												                	Ресей, 							Moscow						
V. Kolyubin
Production and Technical Center “UralAlmazhInvest,”
														Email: afanval@mail.ru
				                					                																			                												                	Ресей, 							Moscow						
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