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


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Аннотация

A nonlinear dynamic system with a random jump structure is considered. When the system’s structure changes, the plant’s nonlinear characteristic changes in a jump and the input random binary signal also changes. The structure change is registered by the structure indicator; however, its indications are error prone. A Bayesian recurrent algorithm for controlling the plant structure and probability distribution of the plant state is developed.

Об авторах

V. Boldinov

Moscow Aviation Institute (National Research University); Moscow Research Television Institute; Mints Radio Engineering Institute; State Research Institute of Aviation Systems

Автор, ответственный за переписку.
Email: viktorboldinov@mail.ru
Россия, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319

V. Bukhalev

Moscow Aviation Institute (National Research University); Moscow Research Television Institute; Mints Radio Engineering Institute; State Research Institute of Aviation Systems

Email: viktorboldinov@mail.ru
Россия, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319

S. Pryadkin

Moscow Aviation Institute (National Research University); Moscow Research Television Institute; Mints Radio Engineering Institute; State Research Institute of Aviation Systems

Email: viktorboldinov@mail.ru
Россия, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319

A. Skrynnikov

Moscow Aviation Institute (National Research University); Moscow Research Television Institute; Mints Radio Engineering Institute; State Research Institute of Aviation Systems

Email: viktorboldinov@mail.ru
Россия, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319


© Pleiades Publishing, Ltd., 2016

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