Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations.. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions.

Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations.. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions.