Adaptive control system for technological process within ostis ecosystem

Abstract

In this paper an approach to building a hybrid intellectual computer system for adaptive control of a technological production cycle is being proposed in the form of an ostis-system solver based on the ontology of the "technological production processes with probabilistic attributes" domain knowledge. The idea of development and implementation of mathematical models of neural network regulators for control optimization problems is the basis for the system solver. Such an implementation makes it possible to integrate the proposed solution with other developed solutions as well as the company’s software in order to allow building intellectual systems for automated control, recommendation systems and decision support systems, information support systems for the company’s personnel.