670f8c83cd707.pdf
DOI:
Mavjud emas
Abdujaliliovich, J. O., Bakoyevich, M. G., & Eldor, A. (2021). Fuzzy logic controller in the management of technological processes of bacterial oxidation. Web of Scientist: International Scientific Research Journal, 2 (06), 191–197.
Babak, R., & Lokender, P. R. (2015, December). Concept and Application of PID Control and Implementation of Continuous PID Controller in Siemens PLCs. Indian Journal of Science and Technology, 8 (35), 1–9. doi: 10.17485/ijst/2015/v8i35/82262
Baqoyevich, M. G. (2023). Modeling and adjustment of a fuzzy controller in a bioreactor control system. Chemical Technology, Control and Management, 2, 14–21.
Chang, W. D., & Shih, S. P. (2010). PID controller design of nonlinear systems using an improved particle swarm optimization approach. Communications in Nonlinear Science and Numerical Simulation, 15 (11), 3632– 3639.
Igamberdiev, Kh. Z., & Mamirov, U. F. (2021). Regulyarnyy sintez sistem adaptivnogo upravleniya neopredelennymi dinamicheskimi ob”yektami [Regular synthesis of adaptive control systems for uncertain dynamic objects]. (In Russian, 215 p.). Tashkent: Bilim va intellektual salohiyat Publ.
Jumayev, O. A., Kovaleva, I. L., & Makhmudov, G. B. (2023). Upravleniye temperaturnym rezhimom protsessa bakterial’nogo okisleniya na osnove nechetkoy logiki [Control of the temperature regime of the bacterial oxidation process based on fuzzy logic]. (In Russian). System Analysis and Applied Informaticsa, 2, 42– 47.
Jumayev, O. A., Makhmudov, G. B., & Majidova, R. B. (2022). Primeneniya nechetkogo kontrollera dlya upravleniya protsessa vyshchelachivaniya zolota iz produktov bakterial’nogo vskrytiya [Application of a fuzzy controller to control the process of gold leaching from bacterial dissection products]. (In Russian). Journal of Advances in Engineering Technology, 1, 5–9.
Kumar, S. M. G., Jain, R., Anantharaman, N., Dharmalingam, V., & Begam K. M. M. Sh. (2008). Genetic algorithm based PID controller tuning for a model bioreactor. Indian Institute of Chemical Engineers, 50 (3), 214– 226.
Kumar, S. V. S., Kumar, V. R., & Reddy, G. P. (2005). Nonlinear control of bioreactors with input multiplicitiesan experimental work. Bioprocess and Biosystems Engineering, 28 (1), 45–53.
Kumari, K., & Mohan, B. M. (2022). Minimum t-norm leads to unrealizable fuzzy PID controllers. Information Sciences, 587, 323–334.
Makhmudov, G. B., Saidova, A. Kh., & Mokhilova, N. T. (2022). Modelirovaniye nechetkoy logiki dlya upravleniya protsessom bakterial’nogo okisleniya kontsentratov v reaktorakh s meshalkoy [Fuzzy logic modeling for controlling the process of bacterial oxidation of concentrates in reactors with a stirrer]. (In Russian). Modern Innovations, Systems and Technologies, 2, 0201–0214.
Makhmudov, G. B., Saidova, A. Kh., Mokhilova, N. T., & Ibragimova, Ch. K. (2022, April). Issledovaniye intellektual’nykh sistem upravleniya na osnove nechetkoy logiki [Research into intelligent control systems based on fuzzy logic]. (In Russian). E Conference Zone, 302–308.
Mu, S., Goto, S., Shibata, S., & Yamamoto, T. (2019). Intelligent position control for pneumatic servo system based on predictive fuzzy control. Computers and Electrical Engineering, 75, 112–122.
Nagy, Z. K. (2007). Model based control of a yeast fermentation bioreactor using optimally designed artificial neural networks. Chemical Engineering Journal, 127 (1-3), 95–109.
Oladele, D. A., Farouq, E., Shaibu (2019, September). An Improved Performance of Fuzzy Logic Based Controller Design for Bioreactor Process Plant. EJERS, European Journal of Engineering Research and Science, 4 (9), 177–179.
Prabhu, K., Dharani, P., Vijayachitra, S., & Kavya, C. (2021). Design of fuzzy – Pid controller for continuous stirred tank reactor plant. Nat. Volatiles & Essent. Oils, 8 (5), 199–205.
Sivakumaran, N., Radhakrishnan, T. K., & Babu, J. S. C. (2006). Identification and control of bioreactor using recurrent networks. Instrumentation Science and Technology, 34 (6), 635–651.
Sugeno, M. (2019). Application of Choquet Calculus to Statistics with Distorted Probabilities. IEEE Transactions on Fuzzy Systems, 27 (9), 3–15.
Yusupbekov, N. R., Jumayev, O. A., Mahmudov, G‘. B., & Ismoilov, M. T. (2020). Noaniq mantiq asosida intellektual boshqarish tizimlarini ishlab chiqish [Development of intelligent control systems based on fuzzy logic]. (In Uzbek). Journal of Advances in Engineering Technology, 2, 20–25.
Yusupbekov, N., Igamberdiev, H., & Mamirov, U. (2022). Algorithms for robust stabilization of a linear uncertain dynamic object based on an iterative algorithm. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference (vol. 1, pp. 225–232). Springer International Publishing.