Structurally-classification methods for analysis and forecasting in large-scale control systems

The method for solving analysis and forecasting problems in large-scale control systems is presented. A markovian chain with $r$ states, where $r$ – the number of structural units (classes) was used as a forecasting model. For the effective realization of presented method the complex classification algorithm was developed.