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Izvestiya SFedU
Engineering sciences
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ISSN 1999-9429 print
ISSN 2311-3103 online
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  • THE FORMALIZED APPROACH TO SYNTHESIS OF ARCHITECTURE IN THE SYSTEM OF ADAPTIVE GROUP CONTROL OF ROBOTIC COMPLEXES IN THE CONDITIONS OF THE NONDETERMINISTIC DYNAMIC ENVIRONMENT

    V.V. Sviridov
    2022-05-26
    Abstract ▼

    The rapid development of "multi-agent systems" as an independent and multifaceted section
    of artificial intelligence attracts many researchers in various fields of activity. The pace of progress
    in the development of information technologies, distributed information systems, and computer
    technology determines the possibilities of using robotics technologies in the Armed Forces of
    the Russian Federation. The factors presented in the article authorize the need to introduce new
    intelligent technologies into the troops - autonomous robotic complexes (systems). The development
    of artificial intelligence methods makes it possible to take a new step towards changing the
    style of interaction of complexes with each other as part of a robotic system. The idea of creating
    so-called "autonomous complexes" arose, which gave rise to a new style of adaptive group management.
    Instead of interaction initiated by the user-operator through commands and direct manipulations,
    complexes are independently involved in the joint process of solving a common problem
    in a non-deterministic dynamic environment. The article proposes a formalized approach to
    the design of architectures for group interaction of autonomous robotic complexes in a system
    based on the law of open control, i.e. induced and reliable preferences of each complex for action,
    satisfying the conditions of perfect coordination of their activities, by identifying parameters at
    which the objective function is maximized in various modes of functioning of the robotic system. A
    formalized formulation of the problem of synthesis of the adaptive group control system of autonomous
    robotic complexes under conditions of a priori uncertainty is presented. The architecture of
    group interaction of complexes is adaptively built based on the conditions of the external environment
    and the internal state of the system, in which each complex of the group functions to achieve
    a common goal (solving a system problem) at the time under consideration.

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