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


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

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.

About the authors

V. A. Boldinov

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

Author for correspondence.
Email: viktorboldinov@mail.ru
Russian Federation, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319

V. A. 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
Russian Federation, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319

S. P. 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
Russian Federation, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319

A. 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
Russian Federation, Volokolamskoe sh. 43, Moscow, 125993; Moscow; Moscow; ul. Viktorenko 7, Moscow, 125319


Copyright (c) 2016 Pleiades Publishing, Ltd.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies