Intelligent control systems in experimental physical complexes. Part 1: application of IT soft computing
Автор: Zrelov P.V., Katulin M.S., Reshetnikov A.G., Ulyanov S.V.
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 4, 2023 года.
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The first stage of the QSCIT (Quantum Soft Computational Intelligence Toolkit) software toolkit based on soft computing technology - SCOptKB™, applied for design (at the second stage) of robust knowledge bases in self-organized intelligent control systems, is presented. The application of the QCOptKB™ toolkit to quantum computing technology at the second stage of IT design of robust control systems is discussed in Part 2 using a similar example of intelligent nitrogen pressure control in a cryogenic installation of a superconducting magnet test bench.
Quantum optimizer of knowledge base, quantum fuzzy inference, quantum self-organization, soft computing
Короткий адрес: https://sciup.org/14129957
IDR: 14129957
