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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v36.i3.20
pages 14-24

Synthesis of Robust Optimal Adaptive Control Systems for Nonstationary Objects under Bounded Disturbances

Vsevolod M. Kuntsevich
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine

要約

We state the problem of synthesis of an adaptive control system for a class of nonstationary objects without memory with limited rate of parameters drift, in which dual nature of control is essentially used and enables simultaneously realize parametric identification of objects and their control. In this case identification is considered as a problem subordinated to the main aim of control, i.e., minimization of the performance functional.


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