Open AccessNecessity of intelligent control systems application in experimental nuclear physics complexes (NICA type).PT.I: Problems of unforeseen situations
Author(s) -
Oleg Brovko,
А. В. Елисеев,
V. Kekelidze,
V. Korenkov,
Dmitry Monahov,
Andrey Reshetnikov,
G.P. Reshetnikov,
S.V. Ulyanov
Publication year - 2019
Publication title -
sistemnyj analiz v nauke i obrazovanii
Language(s) - English
Resource type - Journals
ISSN - 2071-9612
DOI - 10.37005/2071-9612-2019-4-32-57
Subject(s) - intelligent control , computer science , controller (irrigation) , soft computing , fuzzy logic , intelligent decision support system , quantum computer , control system , control (management) , control engineering , quantum , complex system , fuzzy control system , expert system , artificial intelligence , engineering , physics , electrical engineering , quantum mechanics , agronomy , biology
In the article (Part I) the necessity of application of end-to-end quantum technologies of intelligent computing in problems of structure elements control of complex experimental accelerator complex NICA is analyzed. Given a description of possible unforeseen situations, their classification is given to include adjustments to the decision-making application of production rules, logic knowledge bases of intelligent control systems based on emerging information risk increment. In the second part (Part II) the proposed two-level intelligent control system, a physical experimental setup of the NICA complex, in which the lower Executive level is a traditional control system based on expert control using the Tango control system Controls, while the upper (intelligent) level control actions are generated using the methods of quantum end-to-end IT design quantum fuzzy controller. Part II presents the QSCIT (Quantum Soft Computational Intelligence Toolkit), based on soft and quantum computing, to design robust knowledge bases in self-organizing intelligent control systems.