Skip to main content

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

2024, vol.16 , no.1, pp. 57-64

Article [2024-01-06]

Authors
D. I. Mutin
A. F. Kaperko
S. A. Sorokin
D. V. Sotnikov
I. V. Atlasov
N. A. Ryndin
Abstract

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.

Keywords

adaptation, control, artificial intelligence system, linear convolution of parameters, state identification

DOI

https://doi.org/10.59035/ZDGM9286

Download full article

Citation of this article:

D. I. Mutin, A. F. Kaperko, S. A. Sorokin, D. V. Sotnikov, I. V. Atlasov, N. A. Ryndin. Automation of adaptive control of complex objects states trajectories in artificial intelligence systems. International Journal on Information Technologies and Security, vol.16 , no.1, 2024, pp. 57-64. https://doi.org/10.59035/ZDGM9286