Dynamic model of knowledge representation in intelligent control systems of complex technological processes

The original model of the dynamic knowledge presentation in intelligent control systems of complex technological processes and forecasting of abnormal situations in the form of fuzzy marked growing semantic network is designed. The proposed model allows to adequately describe the complex multivariable dynamic technological processes and on this basis to control them in the process of the implementation by comparing the actual and reference dynamic behavioral models of the control object in time. The rules of the comparison of different fuzzy growing semantic networks are developed, which allow to realize automatic control of the complex technological processes in an unstable environment.