References
- [1] A. Tozlu, E. Ozahi, A. Abusoglu, “Waste to energy technologies for municipal solid waste management in Gaziantep”, Renewable and Sustainable Energy Reviews, Vol. 54, 2016, 809-815. DOI:10.1016/j.rser.2015.10.097
- [2] R. Kothari, V. Tyagi, F. Pathak, “Waste to energy: A way from renewable energy sources to sustainable development”, Renewable and Sustainable Energy Reviews, Vol. 14, No 9, 2010, 3164–3170. DOI:10.1016/j.rser.2010.05.005
- [3] C. Guizani, et al., “Biomass Chars: The Effects of Pyrolysis Conditions on Their Morphology, Structure, Chemical Properties and Reactivity”, Energies, 10(6), 2017, 796. DOI:10.3390/en10060796
- [4] “Nur 16 Prozent des Plastikmülls werden wiederverwendet”, Newspaper website Spiegel, 2019. https://www.spiegel.de/wissenschaft/natur/plastikmuell-nur-16-prozent-werden-in-deutschland-wiederverwendet-a-1271125.html
- [5] Y. Li, R. Gupta, S. You, “Machine learning assisted prediction of biochar yield and composition via pyrolysis of biomass”, Bioresource Technology, Vol. 359, 2022, 127511. DOI:10.1016/j.biortech.2022.127511
- [6] S. Wu, et al., “Simulation and optimization of heating rate and thermal uniformity of microwave reactor for biomass pyrolysis”, Chemical Engineering Science, Vol. 250, 2022, 117386. DOI:10.1016/j.ces.2021.117386
- [7] S.N. Pelykh, M.V. Maksimov, M.V. Nikolsky, “A method for minimization of cladding failure parameter accumulation probability in VVER fuel elements”, Problems of Atomic Science and Technology, 92(4), 2014, 108-116. https://www.researchgate.net/publication/289947827_A_method_for_minimization_of_cladding_failure_parameter_accumulation_probability_in_VVER_fuel_elements
- [8] S.N. Pelykh, M.V. Maksimov, “The method of fuel rearrangement control considering fuel element cladding damage and burnup”, Problems of Atomic Science and Technology, 87(5), 2013, 84-90. https://vant.kipt.kharkov.ua/ARTICLE/VANT_2013_5/article_2013_5_84a.pdf
- [9] M.V. Maksimov, S.N. Pelykh, R.L. Gontar, “Principles of controlling fuel-element cladding lifetime in variable VVER-1000 loading regimes”, Atomic Energy, 112(4), 2012, 241-249. DOI:10.1007/s10512-012-9552-3
- [10] I. Atamanyuk, J. Kacprzyk, Y. Kondratenko, M. Solesvik, “Control of Stochastic Systems Based on the Predictive Models of Random Sequences”, In: Y.P. Kondratenko, A.A. Chikrii, V.F. Gubarev, J. Kacprzyk (Eds) Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Dedicated to Professor Vsevolod M. Kuntsevich. Studies in Systems, Decision and Control, Vol. 203. Cham: Springer Nature Switzerland AG, 2019, 105-128. DOI: 10.1007/978-3-030-21927-7_6
- [11] O. Kozlov, G. Kondratenko, Z. Gomolka, Y. Kondratenko, “Synthesis and Optimization of Green Fuzzy Controllers for the Reactors of the Specialized Pyrolysis Plants”, Kharchenko V., Kondratenko Y., Kacprzyk J. (Eds) Green IT Engineering: Social, Business and Industrial Applications, Studies in Systems, Decision and Control, Vol 171, 2019, Springer, Cham, 373-396. DOI:10.1007/978-3-030-00253-4_16
- [12] Y.P. Kondratenko, O.V. Kozlov, O.V. Korobko, “Two Modifications of the Automatic Rule Base Synthesis for Fuzzy Control and Decision Making Systems”, J. Medina et al. (Eds), Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Foundations, 17th International Conference, IPMU 2018, Cadiz, Spain, Proceedings, Part II, CCIS 854, Springer International Publishing AG, 570-582, 2018. DOI:10.1007/978-3-319-91476-3_47
- [13] Y.P. Kondratenko, A.V. Kozlov, “Generation of Rule Bases of Fuzzy Systems Based on Modified Ant Colony Algorithms”, Journal of Automation and Information Sciences, Vol. 51, Issue 3, 2019, New York: Begel House Inc., 4-25. DOI: 10.1615/JAutomatInfScien.v51.i3.20
- [14] “Advance trends in soft computing”, M. Jamshidi, V. Kreinovich, J. Kacprzyk, Eds. Cham: Springer-Verlag, 2013. DOI:10.1007/978-3-319-03674-8
- [15] Y.P. Kondratenko, O.V. Korobko, O.V. Kozlov, “Synthesis and Optimization of Fuzzy Controller for Thermoacoustic Plant”, Lotfi A. Zadeh et al. (Eds.) Recent Developments and New Direction in Soft-Computing Foundations and Applications, Studies in Fuzziness and Soft Computing, Vol. 342, 2016, Berlin, Heidelberg: Springer-Verlag, 453–467. DOI:10.1007/978-3-319-32229-2_31
- [16] J. Zhao, et al., “The fuzzy PID control optimized by genetic algorithm for trajectory tracking of robot arm”, 2016 12th World Congress on Intelligent Control and Automation (WCICA), Guilin, China, 2016, 556-559. DOI: 10.1109/WCI-CA.2016.7578443
- [17] J. Kacprzyk, “Multistage Fuzzy Control: A Prescriptive Approach”, John Wiley & Sons, Inc., New York, NY, USA, 1997.
- [18] W. Pedrycz, K. Li, M. Reformat, “Evolutionary reduction of fuzzy rule-based models”, Fifty Years of Fuzzy Logic and its Applications, STUDFUZ 326, Cham: Springer, 2015, 459-481. DOI:10.1007/978-3-319-19683-1_23
- [19] N. Ben, S. Bouallègue, J. Haggège, “Fuzzy gains-scheduling of an integral sliding mode controller for a quadrotor unmanned aerial vehicle”, Int. J. Adv. Comput. Sci. Appl., Vol. 9, no. 3, 2018, 132–141. DOI: 10.14569/IJACSA.2018.090320
- [20] J. Kacprzyk, Y. Kondratenko, J. M. Merigo, J. H. Hormazabal, G. Sirbiladze, A. M. Gil-Lafuente, “A Status Quo Biased Multistage Decision Model for Regional Agricultural Socioeconomic Planning Under Fuzzy Information”, In: Y.P. Kondratenko, A.A. Chikrii, V.F. Gubarev, J. Kacprzyk (Eds) Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Dedicated to Professor Vsevolod M. Kuntsevich. Studies in Systems, Decision and Control, Vol. 203. Cham: Springer Nature Switzerland AG, 2019, 201-226. DOI: 10.1007/978-3-030-21927-7_10
- [21] D. Ghosh, S. K. Bandyopadhyay, G. S. Taki, “Green Energy Harvesting from Waste Plastic Materials by Solar Driven Microwave Pyrolysis,” 2020 4th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), 2020, 1-4. DOI: 10.1109/IEMEN-Tech51367.2020.9270122
- [22] A.J. Bowles, G.D. Fowler, “Assessing the impacts of feedstock and process control on pyrolysis outputs for tyre recycling”, Resources, Conservation and Recycling, Vol. 182, 2022, 106277. DOI:10.1016/j.resconrec.2022.106277
- [23] B. Zhang, D. -L. Xu, X. -D. Hu, Y. Liu, “Automatic control system of biomass pyrolysis gas carbon compound furnace based on PLC”, 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), 2020, 435-442. DOI: 10.1109/WCMEIM52463.2020.00098
- [24] Y . P. Kondratenko, O. V. Kozlov, O. S. Gerasin, A. M. Topalov, O. V. Korobko, “Automation of control processes in specialized pyrolysis complexes based on Web SCADA Systems”, Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS): Proceedings of the 9th IEEE International Conference. Bucharest, Romania, volume 1, 2017, 107-112. DOI: 10.1109/IDAACS.2017.8095059
- [25] Z. Fu, J. Wang and C. Yang, “Research on heat transfer function modeling of plastic waste pyrolysis gasification reaction kettle,” 2017 Chinese Automation Congress (CAC), 2017, pp. 2698–2701, DOI: 10.1109/CAC.2017.8243233
- [26] Y.P. Kondratenko, O.V. Kozlov, “Mathematic Modeling of Reactor’s Temperature Mode of Multiloop Pyrolysis Plant”, Modeling and Simulation in Engineering, Economics and Management, Lecture Notes in Business Information Processing, Vol. 115, 2012, 178-187. DOI:10.1007/978-3-642-30433-0_18
- [27] J. Hofmann, H. Holz, L. Gröll, “Relative Gain Array and Singular Value Analysis to Improve the Control in a Biomass Pyrolysis Process”, 2019 IEEE 15th International Conference on Control and Automation (ICCA), 2019, 596-603, DOI: 10.1109/ICCA.2019.8900025
- [28] D. V. Tuntsev, et al., “The mathematical model of fast pyrolysis of wood waste”, 2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS), 2015, 1-4, DOI: 10.1109/MEACS.2015.7414929
- [29] Y.P. Kondratenko, O.V. Kozlov, L.P. Klymenko, G.V. Kondratenko, “Synthesis and Research of Neuro-Fuzzy Model of Ecopyrogenesis Multi-circuit Circulatory System”, Advance Trends in Soft Computing, Studies in Fuzziness and Soft Computing, Berlin, Heidelberg: Springer-Verlag, Vol. 312, 2014, 1-14. DOI:10.1007/978-3-319-03674-8_1
- [30] Y.P. Kondratenko, O.V. Kozlov, “Mathematical Model of Ecopyrogenesis Reactor with Fuzzy Parametrical Identification”, Recent Developments and New Direction in Soft-Computing Foundations and Applications, Studies in Fuzziness and Soft Computing, Vol. 342, Lotfi A. Zadeh et al. (Eds.). Berlin, Heidelberg: Springer-Verlag, 2016, 439-451. DOI:10.1007/978-3-319-32229-2_30
- [31] F. S. Tudor, F. M. Boangiu, C. Petrescu, “First order controller for a petrochemical pyrolysis reactor”, 2nd International Conference on Systems and Computer Science, 2013, 20-25, DOI: 10.1109/IcConSCS.2013.6632017
- [32] Q. Bu et al. “The effect of fuzzy PID temperature control on thermal behavior analysis and kinetics study of biomass microwave pyrolysis”, Journal of Analytical and Applied Pyrolysis, Vol. 158, 2021, 105176. https://doi.org/10.1016/j.jaap.2021.105176
- [33] X. Liu, S. Wang, L. Xing, “Fuzzy self-tuning PID temperature control for biomass pyrolysis fluidized bed combustor”, 2010 2nd IEEE International Conference on Information Management and Engineering, 2010, 384-387. DOI: 10.1109/ICIME.2010.5477837
- [34] M. Mircioiu, E. -M. Cimpoeşu, C. Dimon, “Robust control and optimization for a petrochemical pyrolysis reactor”, 18th Mediterranean Conference on Control and Automation, MED’10, 2010, 1097-1102, DOI: 10.1109/MED.2010.5547645
- [35] P. Cristina, P. Alexandru, “Improving FCC plant performance with model reference adaptive control based on neural network”, 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2016, 1-4. DOI: 10.1109/ECAI.2016.7861074
- [36] D. Popescu, C. Petrescu, C. Dimon, M. Boangiu, “Control and optimization for a petrochemical reactor”, 2nd International Conference on Systems and Computer Science, 2013, 14-19. DOI: 10.1109/IcConSCS.2013.6632016
- [37] M.V. Maksymov, et al., “Automatic Control for the Slow Pyrolysis of Organic Materials with Variable Composition”, in Advanced Control Systems: Theory and Applications. Series in Automation, Control and Robotics River Publishers, Y.P. Kondratenko et al. (Eds.), Chapter 14, 2021, 397–430. ISBN:978-87-7022-341-6
- [38] O. Brunetkin, et al., “Development of the unified model for identification of composition of products from incineration, gasification, and slow pyrolysis”, Eastern European Journal of Enterprise Technologies, 4/6 (100), 2019, 25–31. DOI: 10.15587/1729-4061.2019.176422
- [39] V.P. Sabanin, et al., “Load control and the provision of the efficiency of steam boilers equipped with an extremal governor”, Therm. Eng. 61, 2014, 905-910. DOI:10.1134/S004060151411007X
- [40] Y.M. Kovrigo, T.G. Bagan, A.S. Bunke, “Securing robust control in systems for closed-loop control of inertial thermal power facilities”, Therm. Eng. 61, 2014, 183–188. DOI:10.1134/S0040601514030057
- [41] S.A. Morales, D.R. Barragan, V. Kafarov, “3D CFD Simulation of Combustion in Furnaces Using Mixture Gases with Variable Composition”, Chemical Engineering Transactions, Vol. 70, 2018, 121–126. DOI: 10.3303/CET1870021