Open AccessThe principles of adaptive control of a technical system using Cetlin probabilistic automata
Author(s) -
В. И. Петренко,
Фариза Тебуева,
В. О. Антонов,
V N Smykova,
V E Nechvoloda
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/4/042023
Subject(s) - probabilistic logic , probabilistic automaton , automaton , computer science , control (management) , probabilistic method , machine learning , artificial intelligence , theoretical computer science
This article examined the principles of adaptive control of a technical system using Cetlin probabilistic automaton. The study aims to reduce the learning time of the machine through the introduction of a progressive method for predicting short time series by the refined Brown method.