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Avtomatika i Telemekhanika, 2013, Issue 4, Pages 129–151
(Mi at4978)
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This article is cited in 1 scientific paper (total in 1 paper)
Robust and Adaptive Systems
Minimax estimation methods under ellipsoidal constraints
A. A. Mamaev, K. V. Siemenikhin Moscow State Aviation Institute, Moscow, Russia
Abstract:
We consider the minimax estimation problem in a linear observation model under ellipsoidal constraints on the vector of unknown parameters. To solve the problem, we use dual optimization and semidefinite programming methods. The developed algorithms are applied to constructing motion parameter estimates for a maneuvering flying vehicle under constraints on the acceleration vector.
Citation:
A. A. Mamaev, K. V. Siemenikhin, “Minimax estimation methods under ellipsoidal constraints”, Avtomat. i Telemekh., 2013, no. 4, 129–151; Autom. Remote Control, 74:4 (2013), 642–659
Linking options:
https://www.mathnet.ru/eng/at4978 https://www.mathnet.ru/eng/at/y2013/i4/p129
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Statistics & downloads: |
Abstract page: | 481 | Full-text PDF : | 127 | References: | 89 | First page: | 36 |
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