Solving the Problem of Dynamic Adaptability of Artificial Intelligence Systems that Control Dynamic Technical Objects

V. V. Khilenko; Ryszard Strzelecki; I. Kotuliak

doi:10.1007/s10559-018-0089-x

Solving the Problem of Dynamic Adaptability of Artificial Intelligence Systems that Control Dynamic Technical Objects

Abstract

This paper investigates the increase in the response speed and stability of artificial intelligence systems that control dynamic technical objects. The problem of calculating the optimal time of switching an artificial intelligence system between software classes by the criterion of the rigidity degree of the model of a control object is considered. The solution of this problem is proposed for the general case of the control object dynamics when the rigidity of the mathematical model can significantly change during functioning and it is necessary to dynamically determine the moment of transition from standard methods of numerical integration to specialized numerical methods intended for calculating rigid dynamic models.

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Keywords

MATHEMATICAL MODELING, CONTROL OF TECHNICAL SYSTEMS, ARTIFICIAL INTELLIGENCE

Details

Category:: Articles
Type:: artykuły w czasopismach
Published in:: CYBERNETICS AND SYSTEMS ANALYSIS no. 54, pages 867 - 873,
ISSN: 1060-0396
Language:: English
Publication year:: 2018
Bibliographic description:: Khilenko V., Strzelecki R., Kotuliak I.: Solving the Problem of Dynamic Adaptability of Artificial Intelligence Systems that Control Dynamic Technical Objects// CYBERNETICS AND SYSTEMS ANALYSIS -Vol. 54,iss. 6 (2018), s.867-873
DOI:: Digital Object Identifier (open in new tab) 10.1007/s10559-018-0089-x
Verified by:: Gdańsk University of Technology