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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v28.i5-6.140
pages 111-115

Synthesis of Robustly Optimal Multidimensional Control Systems

Vsevolod M. Kuntsevich
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine
Alexey V. Kuntsevich
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kyiv

ABSTRAKT

The problem of synthesizing a system for controlling multidimensional objects (continuous and discrete) when set estimates of their parameters are available is posed as a problem of determining the control which provides the best proximity of the synthesized system motion to the motion of a specified (standard) system. In such a posing, this problem is formulated ultimately as a minimax problem, the solution of which reduces to the solution of a standard problem of minimizing a convex function under convex constraints.


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