673f14b2ed284.pdf
DOI:
Mavjud emas
Ablayev, F., & Ablayev, M. (2015). On the concept of cryptographic quantum hashing. Laser Phys. Lett., 12 (12), 125204, 1-5. https://doi.org/10.1088/1612-2011/12/12/125204
Avedyan, E. D., Galushkin, A. I., & Pantyukhin, D. V. (2011). Associative neural network SMAS and its modifications in the problem of pattern recognition. (In Russian). Information Technologies. New Technologies, 7, 63-71.
Cirac, J. I., & Zoller, P. (2010). Goals and opportunities in quantum simulation. Nature Physics, 264–266.
El-Madany, H. T., Fahmy, F. H., El-Rahman, N. M. A., & Dorrah, H. T. (2011). Artificial Intelligence Techniques for Controlling Spacecraft Power System. Proceedings of the International Conference on Renewable Energies and Power Quality (pp. 163-172). Spain: Las Palmas de Gran Canaria.
Lee, J., Shung, W., Kim, E., & Kim, S. (2010). A new genetic approach structure learning of Bayesian networks: matrix genetic algorithm. International Journal of Control, Automation and Systems, 4, 398-407. Korean Institute of Electrical Engineers.
Li, Zh.-B., Wang Zh.-L., & Li, J.-F. (2004). A hybrid control scheme of adaptive and variable structure for flexible spacecraft. Aerospace Science and Technology, 8(5), 423-430.
Rastegar, S. Araújo, R. Sadati, J., & Mendes J. (2017). A novel robust control scheme for LTV systems using output integral discrete-time synergetic control theory. Control, 34. https:// doi.org/10.1016/j.ejcon.2016.12.006
Ulyanov, S. V., & Nefedov, N. Yu. (2012). Efficiency and quality of intelligent control using quantum fuzzy inference: Globally unstable dynamic system. (In Russian). Systems Analysis in Science and Education, 1. http:/www.sanse.ru/archive/23
Ulyanov, S. V., Mishin, A. A., & Minogin, A. A. (2010). Information technology for designing robust knowledge bases of fuzzy controllers. Part III: quantum fuzzy inference and quantum information. (In Russian). Systems Analysis in Science and Education, 3, 423-430. Dubna.
Usmanov, K. I., Yakubova, N. S., Urmanova, V. T., & Abdurasulova, G. E. (2023a). Synthesis of a control system for the process of diesel fuel hydropuring with the Adar method. E3S Web of Conferences 458, EMMFT-2023. https://doi.org/10.1051/e3sconf/202345801025
Usmanov, K., Yakubova, N. S., Eshbobaev, J. (2023b). Modeling and Optimization of the Ammonium Solution Extraction Process. Eng. Proc., 56, 198. https://doi.org/10.3390./ASEC2023- 16274
Yakubova, N. (2022). Method of hybrid control based of dynamic objects of neuro-fuzzy inference. Karakalpak Scientific Journal, 5(2), 8-18. Nukus.
Yakubova, N. S. (2023a). Synthesis of the control system of complex dynamic objects based on quantum computing methods. (In Uzbek). Descendants of Muhammad Al-Khorazmi, 3 (25), 229.
Yakubova, N. S. (2023b). Application of quantum algorithms in the synthesis of dynamic objects. Сhemical Technology. Control and Management, 6, 61-67. https://ijctcm.researchcommons. org/journal
Yakubova, N. S., & Abdurasulova, G. E. (2023). Study of fuzzy controllers in intelligent control systems based on quantum computing. (In Russian). Universum: Technical Sciences, 3(108). https://7universum.com/ru/tech/archive/item/15148
Yakubova, N. S., & Jamolova, S. R. (2023, June 27). Software for research of dynamic object control systems based on quantum algorithms. (In Uzbek). Certificate of official registration of the program created for computer. No. DGU 26026.
Yakubova, N. S., & Quramboyev I. N. (2024, March 4). Software for application of quantum algorithms in control of complex dynamic objects. (In Uzbek) (Certificate of official registration of the program created for computer No. DGU 34448).
Yakubova, N. S., Maksudova, A. I., & Urmanova, V. T. (2021). Intelligent control of multidimensional dynamic objects. (In Russian). Universum: Technical Sciences, 5-1(86), 80-83. https://7universum.com/ru/tech/archive/item/11818
Zhang K., & Korepin V. E. (2020). Examples on quantum search algorithm with optimized depth. Phys. Rev. A., 101(3), 032346, 1-12. https://doi.org/10.1103/Phys-RevA.101.032346