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November 2015 (published: 27.11.2015)
Number 4(26)
Home > Issue > The using of cognitive images of the States of systems in space of entropy potentials parameter for the organization of monitoring and control
Lazarev V. L., Graholskaya T.A., Travina E.A., Frolkov N.A.
The article develops an approach to the study of systems in space of coordinates of entropic potentials of investigated parameters. As such coordinates is propose to use the values that are included in the expressions for the entropic potentials. Thus, individual stages or «phases» of evolution processes of system are display in the space of «probabilistic properties» of parameters as corresponding cognitive images. As a result, can be realized "compression" of information about these processes. The obtained images are very informative, compact and clear. With their use, it is possible to carry out effective monitoring and control of different nature systems, especially in conditions of uncertainty, witch common to many processes and industries of food industry. Also, provides examples illustrating these properties of such mappings. Also discusses methodological aspects of finding the values of the proposed coordinate’s quantities in various situations with the original data. Provides specific recommendations on the organization of the corresponding calculations.
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Keywords: cognitive images; phase portraits; entropic potentials; critical areas; state of uncertainty.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
UDC 621.078
The using of cognitive images of the States of systems in space of entropy potentials parameter for the organization of monitoring and control
The article develops an approach to the study of systems in space of coordinates of entropic potentials of investigated parameters. As such coordinates is propose to use the values that are included in the expressions for the entropic potentials. Thus, individual stages or «phases» of evolution processes of system are display in the space of «probabilistic properties» of parameters as corresponding cognitive images. As a result, can be realized "compression" of information about these processes. The obtained images are very informative, compact and clear. With their use, it is possible to carry out effective monitoring and control of different nature systems, especially in conditions of uncertainty, witch common to many processes and industries of food industry. Also, provides examples illustrating these properties of such mappings. Also discusses methodological aspects of finding the values of the proposed coordinate’s quantities in various situations with the original data. Provides specific recommendations on the organization of the corresponding calculations.
Read the full article
Keywords: cognitive images; phase portraits; entropic potentials; critical areas; state of uncertainty.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License