人工智能系统中复杂物体状态轨迹自适应控制的自动化

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal on Information Technologies and Security Pub Date : 2024-03-01 DOI:10.59035/zdgm9286

D. Mutin, Alexey Kaperko, Sergey Sorokin, Dmitriy Sotnikov, I. Atlasov, Nikita Ryndin

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引用次数: 0

摘要

如今，复杂物体的单个状态轨迹的自动化控制问题已变得十分重要。有必要在某些参数的指导下对物体状态的个别轨迹施加影响。反应应足以改变这些参数。这项工作的目的是在人工智能系统中实现复杂对象和轨迹自适应控制的合理自动化。需要解决的问题：(1) 确定和评估标准，通过这些标准可以高概率地确定物体的状态水平。(2) 建立这样一种向物体发出控制行动的机制，在此基础上，将有可能建立全自动控制轨迹，在完成系统的操作过程中，只需要操作员的最低限度参与。

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Automation of adaptive control of complex objects states trajectories in artificial intelligence systems

Today, the problem of automating the control of the individual trajectory of the states of complex objects is relevant. It is necessary to influence the individual trajectory of the object's states, guided by certain parameters. The reaction should be adequate to change these parameters. The aim of the work is reasonable automation of adaptive control of complex objects and trajectories in artificial intelligence systems. Tasks to be solved: (1) Identification and evaluation of criteria by which it is possible to determine the level of the object's condition with a high degree of probability. (2) Creation of such a mechanism for issuing control actions to an object, on the basis of which it will be possible to create fully automated control trajectories that require a minimum of operator participation in the operation of the finished system

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来源期刊

International Journal on Information Technologies and Security COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

66.70%

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