Quantum fuzzy inference gate design in robust intelligent control of robotics and mechatronics
Автор: Barchatova Irina, Kerimov Timur, Nikolaeva Alyona, Reshetnikov Andrey, Ulyanov Sergey
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 3, 2014 года.
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Strategy of intelligent control systems based on quantum and soft computing technologies is considered. Quantum self-organization synergetic effects extracted from intelligent fuzzy controller’s knowledge bases interrelations introduced. The robustness of intelligent control systems in unpredicted control situations described with the mathematical and physical simulation of Benchmarks. Benchmarks demonstrated the introduction of quantum fuzzy inference gate design as prepared programmable algorithmic solution for board embedded control systems.
Quantum fuzzy inference gate design, robust intelligent control, knowledge bases self-organization
Короткий адрес: https://sciup.org/14123247
IDR: 14123247
Список литературы Quantum fuzzy inference gate design in robust intelligent control of robotics and mechatronics
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