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States of a Map Flow of Events: Optimal Estimation by the Maximal a Posteriori State Probability Criterion

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Abstract

The Optimal estimation of the states of a MAP—a particular case of the BMAP—flow of events is studied. Expressions for the a posteriori probabilities of the states of the control process of the MAP flow are derived. An optimal estimation algorithm for determining the states from the maximal a posteriori state probabilities is designed and the numerical results it generated in imitation modelling of an event flow are presented.

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Authors and Affiliations

  1. Tambov State University, Tambov, Russia

    I. S. Shmyrin

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  1. I. S. Shmyrin
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Shmyrin, I.S. States of a Map Flow of Events: Optimal Estimation by the Maximal a Posteriori State Probability Criterion. Automation and Remote Control 65, 1444–1451 (2004). https://doi.org/10.1023/B:AURC.0000041422.00327.01

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  • DOI: https://doi.org/10.1023/B:AURC.0000041422.00327.01

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