The need to create and apply intelligent automatic control systems (IACS) is due to the increasing complexity of control plants, among which cyber-physical systems occupy an increasing place, and the long development time of traditional automatic control systems (ACS). For intelligent automatic control systems, the most important problems are determining and choosing an approach to conceptualization, formalization of domain knowledge used by an intelligent control system in the process of solving both operational and strategic tasks arising in the control process a given plant. Studies have been conducted on the correspondence of knowledge models of the intelligent design decision support system (IDDSS) to ontology as a hierarchy of concepts related to categorization relationships. The results of a study of the accuracy of a plant control system with parametric uncertainty.