Pecularities of Semantic Nets in Control Systems
DOI:
https://doi.org/10.31578/jtst.v4i1.73Anahtar Kelimeler:
Colored graphs- decision-making systems- deductive inference- disjunctive- knowledge representation- predicate calculus- semantic netsÖzet
This paper describes the main functions of control systems of complex technological objects in the operating mode. The method of representation
of information in complex objects by means of semantic nets is offered which forms a knowledge representation model of the principal
components of control systems. The range of tasks requiring to be solved during the design process of control systems is analyzed. The formalism
of knowledge representation is determined and procedures and communicational means of deductive inference in this formalism are
worked out. A decision-making algorithm of deductive inference on semantic nets is developed. The elaborated algorithm carries out a dialogue
with a dispatcher of a control system and on the basis of data analysis received from the object, generates recommendations for controlling
this object. This algorithm can be used in solving a wide range of problems, such as operative-dispatch control of power systems, automotive
control of complex objects and other kinds of problems which are impossible to be solved by means of formal methods.
