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This article is cited in 4 scientific papers (total in 4 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
Citation:
D. A. Gubanov, “Methods for analysis of information influence in active network structures”, Avtomat. i Telemekh., 2022, no. 5, 87–101; Autom. Remote Control, 83:5 (2022), 743–754
Linking options:
https://www.mathnet.ru/eng/at15957 https://www.mathnet.ru/eng/at/y2022/i5/p87
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Abstract page: | 81 | References: | 21 | First page: | 9 |
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