Recognition algorithm for the state of the queuing system based on theory of systems with random jump structure

Within the framework of the Bayesian approach, a method has been developed for recognizing signal-interference situations that arise during the operation of the information-measuring system of a moving object. The corresponding algorithms are presented. A method for correcting the weight of a priori information in the case of its significant difference from a posteriori information is proposed. One of the possible correction options using the so-called indicators of signals and interference accompanying signs is presented.

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Bayesian recognition of a moving object information-measuring system state: a priori information weight correction

Muzhichek

Sebryakov

Pavlov

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Control algorithm for a queuing system based on the theory of systems with random jump structure

Boldinov

Bukhalëv

Pryadkin

et al. 2015

J. Comput. Syst. Sci. Int.

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Control of the probability distribution of a system state based on its structure indicator

Boldinov

Bukhalëv

Pryadkin

et al. 2016

J. Comput. Syst. Sci. Int.

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Recognition algorithm for the state of the queuing system based on theory of systems with random jump structure

Cited by 4 publications

References 4 publications

Bayesian recognition of a moving object information-measuring system state: a priori information weight correction

Bayesian recognition of a moving object information-measuring system state: a priori information weight correction

Control algorithm for a queuing system based on the theory of systems with random jump structure

Control of the probability distribution of a system state based on its structure indicator

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