Active parametrical identification of stochastic linear continuous-discrete systems based on the experiment design in the presence of abnormal observations V. M. Chubich, E. V. Filippova
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ArticleOther title: Активная параметрическая идентификация стохастических линейных непрерывно-дискретных систем на основе планирования эксперимента при наличии аномальных наблюдений [Parallel title]Subject(s): параметрическая идентификация | непрерывно-дискретные системы | аномальные наблюдения | робастное оцениваниеGenre/Form: статьи в журналах Online resources: Click here to access online
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Вестник Томского государственного университета. Управление, вычислительная техника и информатика № 50. С. 61-68Abstract: The procedure of active parametrical identification of stochastic linear continuous-discrete systems including robust estimation of parameters and optimal design of input signals is offered. A general case of entering unknown parameters into the equations of state and observation, initial conditions and covariance matrices of system noise and measure-ments is considered. The efficiency of this procedure is demonstrated by the example of a direct current motor control system.
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The procedure of active parametrical identification of stochastic linear continuous-discrete systems including robust estimation of parameters and optimal design of input signals is offered. A general case of entering unknown parameters into the equations of state and observation, initial conditions and covariance matrices of system noise and measure-ments is considered. The efficiency of this procedure is demonstrated by the example of a direct current motor control system.
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