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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2022 Issue 5, Pages 87–101 (Mi at15957)

This article is cited in 6 papers

Methods for analysis of information influence in active network structures

D. A. Gubanov

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia

Abstract: A number of methods and examples are considered that substantiate the possibility and expediency of using the actional approach to solving applied problems of analyzing information processes in active network structures.

Keywords: active network structure, information influence, actional model, methods of analysis of active network structures.


Received: 12.07.2021
Revised: 25.08.2021
Accepted: 26.01.2022

DOI: 10.31857/S0005231022050075


 English version:
Automation and Remote Control, 2022, 83:5, 743–754


© Steklov Math. Inst. of RAS, 2025