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Electronics and Control Systems
Article . 2022 . Peer-reviewed
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Adaptive Stabilization Systems of Dynamic Objects

Authors: Aleksandr Ablesimov; Ilya Konovalyuk; Ruslan Zavhorodnii;

Adaptive Stabilization Systems of Dynamic Objects

Abstract

There are a large number of dynamic objects, for the management of which it is advisable to apply the principles of adaptation. The reasons for applying the principles of adaptation can be combined into two main groups: the variability and complexity of the characteristics of objects and the environment; growing requirements for accuracy and technical and economic characteristics of systems. The difference between adaptive systems and optimal ones is that while in optimal systems the quality indicator is provided for certain parameters of the object, in adaptive systems - for various parameters due to the action of additional elements of adaptation. The choice of one or another approach is determined by preliminary information about the object (process) or the accepted quality criterion. The article presents the main approaches to the selection of possible variants of adaptive systems with stabilization and optimization of the quality of control of systems for stabilizing dynamic objects, based on the type of extremal characteristic of the criterion for assessing their quality.

Keywords

екстремальна характеристика, поиск экстремума, контур адаптации, еталонна модель, контур адаптації, робоча точка, система стабілізації, пошук екстремуму, блок-схема, extreme characteristic, reference model, эталонная модель, система стабилизации, operating point, extreme control, рабочая точка, extremum search, экстремальное управление, екстремальне керування, stabilization system, block diagram, adaptation contour, экстремальная характеристика

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold