Optimal state estimation of a generalized MAP event flow with an arbitrary number of states
We consider the optimal state estimation problem for a generalized MAP-flow (Markovian Arrival Process) with n states, which is one of the mathematical models of real information flows of messages. An explicit form of the a posteriori probabilities of the states of the flow under study is found. The...
| Published in: | Automation and remote control Vol. 82, № 5. P. 798-811 |
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| Main Author: | |
| Other Authors: | |
| Format: | Article |
| Language: | English |
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| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000896419 Перейти в каталог НБ ТГУ |
| Summary: | We consider the optimal state estimation problem for a generalized MAP-flow (Markovian Arrival Process) with n states, which is one of the mathematical models of real information flows of messages. An explicit form of the a posteriori probabilities of the states of the flow under study is found. The decision on the state of the flow is made according to the maximum a posteriori probability criterion. The results of numerical calculation of state estimates based on the constructed simulation model of a generalized MAP event flow are presented. |
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| Bibliography: | Библиогр.: 20 назв. |
| ISSN: | 0005-1179 |