**5. The development of well-known methods of working with dynamic OCP**

There are several types of description of object models OCP:


Studies show that the first two methods for describing OCP models are limited to obtaining a parametric OCP control system.

Fuzzy logic and neural network methods are well known. Common to these methods are the following actions: the decomposition of information into

*Automatic Control of the Structure of Dynamic Objects in High-Voltage Power Smart-Grid DOI: http://dx.doi.org/10.5772/intechopen.91664*

elementary components; multiplication by weights; summation of the result; and comparison of the result with many threshold values. However, the extent to which these methods are used is limited by the specifics of the tasks they are to solve, for example, the dynamic development of the transition process in an OCP.

According to the SI method, the OCP structure is represented by transient signals [11–13]. The description is based on the fact that the total amount of information is supplied by all of the oscillatory circuits. These circuits constitute the OCP (**Figure 7**). Such an OCP model allows one to operate only on semantic components while improving RPA device algorithms. The OCP also appears to be a list of *SN* semantic situations.

An *SN* situation is understood as a dynamic change in the output of the OCP block diagram as a reaction to the appearance of changes at any point of the OCP (input or internal) [8–9]. That is, the *SN* modulates the industrial frequency signals in the OCP. Demodulation of the signals makes it possible to recognise the *SN* situation among the well-known and rather limited number of *SN*. Recognition is performed by automatic machines (A). Cases of a complex, simple *SN* situation and dynamic *SN* change [9–11] are taken into account. The signals at the output of the OCP are characterised by the consistent development in time of information components. These components are distinguished by information sensors [8]. The sensor outputs are terminal symbols and are grouped in TS chains. The totality of a TS is a morphological automaton (MorphA).
