COGNITIVE IMAGES OF STATES OF UNCERTAINTY OF PARAMETERS IN THE SPACE OF CHARACTERISTICS OF ENTROPY POTENTIALS

UDC 621.078
DOI: 10.36871/2618-9976.2021.03.004

Authors

Lazarev Viktor Lazarevich
Candidate of Technical Sciences, Associate Professor of the Faculty of Lowtemperature Energy, ITMO National Research University, Saint-Petersburg, Russia

Abstract

The paper considers an approach to creating cognitive images of states of uncertainty of various parameters in the space of characteristics of entropy potentials. The resulting images are visual, convenient for perception and rapid assessment of states of uncertainty and trends in their evolution. The proposed cognitive models can be used to synthesize systems for operational monitoring and management of objects and processes of various complexity and nature, and, in particular, in conditions of a priori uncertainty. If it is necessary to clarify the results of monitoring changes in uncertainty states, the cognitive graph can be supplemented with appropriate analytical models of these changes, which are also given in the work. The implementation of the proposed solutions will contribute to improving the efficiency and efficiency of monitoring and managing states of uncertainty, which is relevant in various fields of activity.

Keywords

State of uncertainty
Theory of entropy potentials
Cognitive image
Phase trajectory
Phase portrait