24904

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Kalman Filter for Markov Processes in Discrete-Continuous Time

ISBN/ISSN: 

978-5-211-06465-2

Наименование конференции: 

  • 3th Taiwan-Russian Symposium «Advanced Problems in Intelligent Mechatronics, Mechanics, and Robotics» (Москва, 2012)

Наименование источника: 

  • Proceedings of the III Taiwan-Russian Symposium «Advanced Problems in Intelligent Mechatronics, Mechanics, and Robotics» (Moscow, 2012)

Город: 

  • Москва

Издательство: 

  • Издательство Московского университета

Год издания: 

2012

Страницы: 

196-201
Аннотация
This paper deals with the filtering problem for the partially observable vector-processes in the case when unobservable process is excited by a Markov process with a finite state space and the process of observations is a semimartingale with non-Gaussian martingale part. All the processes are described by Ito's stochastic differential equations with measure.

Библиографическая ссылка: 

Рубинович Е.Я. Kalman Filter for Markov Processes in Discrete-Continuous Time / Proceedings of the III Taiwan-Russian Symposium «Advanced Problems in Intelligent Mechatronics, Mechanics, and Robotics» (Moscow, 2012). М.: Издательство Московского университета, 2012. С. 196-201.