Дослідження впровадження інтелектуальних систем керування машинно-тракторними агрегатами з метою мінімізації впливу людського фактору

Abstract

A comprehensive analysis was carried out on the application of intelligent control systems in the context of machine-tractor units as a means to reduce the dependence of their functioning on human factors. Modern approaches to their development were examined, including machine learning methods, neural network structures, fuzzy logic, and hybrid architectures. A research methodology based on simulation experiments was proposed.