Bobir M.V. Modifitsirovannii algoritm nechetko-logicheskogo vivoda v zadachax upravleniya oborudovaniem s CHPU // Mexatronika , Avtomatizatsiya, Upravlenie. 2001. №4. S.26-32. 2. Bobir M.V., Titov V.S., Ansiferov A.V. Algoritm visokoskorostnoy obrabotki detaley na osnove nechetkoy logiki // Mexatronika, Avtomatizatsiya, Upravlenie, 2012. №6. S.21-26. 3. Otsenka dostovernosti pri modelirovanii nechetko-logicheskix sistem / Bobir M.V., Titov V.S., P.V. Globin, N.A. Milostnaya // Promishlennie ASU i kontrolleri, 2012. №7. S. 32-38. 4. Bobir M.V. Metodi postroeniya funksiy prinadlejnostey dlya nechetkix baz znaniy // Promishlennie ASU i kotrolleri, 2011. №2. S.27-33. 5. Bobir M.V., Titov V.S., CHervyakov L.M. Adaptatsiya slojnix sistem upravleniya s uchetom prognozirovaniya vozmojnix sostoyaniy // Avtomatizatsiya i sovremennie texnologii, 2012. №5. S.3-10. 6. Pupkov K.A., Barkin A.I., Voronov E.M. i dr.; Pod red. N.D. Egupova. Metodi klassicheskoy i sovremennoy teorii avtomaticheskogo upravleniya: Uchebnik dlya vuzov. V 3 t. -Moskva: Izd-vo MGTU im. N.E. Baumana, 2000. 7. Rutkovskaya D., Pilinskiy M., Rutkovskiy L. Neyronnie seti, geneticheskie algoritmi i nechetkie sistemi- M.: Goryachaya liniya-Telekom, 2006.- 452 s. 8. Pegat A. Nechetkoe modelirovanie i upravlenie.- M.: IUIT; BINOM, Laboratoriya znaniy, 2012. -798 s. 9. Antipin A.F. Sravnitelniy analiz bistrodeystviya diskretno-logicheskogo regulyatora // Programmnie produkti i sistemi. 2010. № 1 (89). S. 75–77. 10. Yurkevich V.D. Sintez nelineynix nestatsionarnix sistem upravleniya s raznotempovimi protsessami. SPb.: Nauka, 2000. 287 c. 11. Siddikov I., Iskandarov Z. Synthesis of adaptive-fuzzy control system of dynamic in conditions of uncertainty of information // International Journal of Advanced Research in Science, Engineering and Technology. Vol. 5. Issue 1. January 2018. pp. 5089-5093. 12. Zadeh, L.. Fuzzy Sets. Inf Cont, Vol. 8, Pp. 338–353, 1965. 13. Cox, E. , The Fuzzy Systems Handbook. Ap Professional - New York.1994. Electrical and Computer Engineering 161 14. Mehrotra, K., Mohan, C. K., And Ranka, S. ,Elements Of Artificial Neural Networks. The Mit Press, 1997 15. Lin, C-T., and C. S. George Lee. «Neural-network-based fuzzy logic control and decision system» Computers, IEEE Transactions on 40.12 (1991): 1320-1336. 16. Takagi, H. & Hayashi, I., Nn-Driven Fuzzy Reasoning. International Journal Of Approximate Reasoning, Vol. 5,Issue 3, 1991. 17. Rotach, V.Ya. (2008) The Theory of Automatic Control. Moscow: Publishing House Moscow Power Engineering Institute, - 396 p. 18. Pelusi, D., Mascella R. (2013) Optimal control algorithms for second order systems, Journal of Computer Science, vol. 9, no. 2, pp. 183–197. 19. Astrom, K.J. (2006) Advanced PID control/ K. J. Astrom, T. Hagglund – ISA (The instrumentation, Systems, and Automation Society), 2006 – 460 p. 20. Wang, L. And Mendel, J., Back-Propagation Fuzzy System As Nonlinear Dynamic System Identifiers. Proceedings Of Ieee International Conferenceon Fuzzy Systems, Pages 1409– 1416, 1992.