Analysis of the structure
dynamic processes, predictability; Detection, classification and diagnosis is not fully observed objects
(patterns); Synchronization and self-organization in nonlinear and chaotic systems; System analysis and
math. modeling of economic, financial, social and bio-physical systems and processes; Convergence of
Data Science, Nonlinear Dynamics and Network-Centric.
Main publications:
A. V. Makarenko, “Analysis of the Time Structure of Synchronization in Multidimensional Chaotic Systems”, J. Exp. Theor. Phys., 120:5 (2015), 912–921 , arXiv: 1505.04314
A. V. Makarenko, “Structure of Synchronized Chaos Studied by Symbolic Analysis in Velocity–Curvature Space”, Technical Physics Letters, 38:2 (2012), 155–159 , arXiv: 1203.4214
A. V. Makarenko, “Measure of synchronism of multidimensional chaotic sequences based on their symbolic representation in a T-alphabet”, Technical Physics Letters, 38:9 (2012), 804–808 , arXiv: 1212.2724
A. V. Makarenko, “Multidimensional Dynamic Processes Studied by Symbolic Analysis in Velocity–Curvature Space”, Computational Mathematics and Mathematical Physics, 52:7 (2012), 1017–1028
A. V. Makarenko, “Recursive tangential-angular operator as analyzer of synchronized chaos”, Technical Physics Letters, 37:8 (2011), 784–788 , arXiv: 1108.5658
A. V. Makarenko, “Vyrazhenie struktury dinamicheskogo protsessa vo vremennoi oblasti v terminakh differentsialnoi geometrii”, Izvestiya vuzov. Prikladnaya nelineinaya dinamika, 14:4 (2006), 71–86
A. D. Kulakova, V. A. Galkin, A. V. Makarenko, “Methoarial; analysis of methods of colour calibration of images using rgb ang hsv colour spaces in tasks of intelligent computer vision (for example, images ob-tained in industrial greenhouses”, UBS, 97 (2022), 87–107
2020
2.
A. V. Makarenko, “Deep neural networks: origins, development, current status”, Probl. Upr., 2020, no. 2, 3–19
A. V. Makarenko, “Metrization of the T-alphabet: measuring the distance between multidimensional real discrete sequences”, Probl. Upr., 2017, no. 2, 2–9; Automation and Remote Control, 80:1 (2019), 138–149
2016
4.
A. V. Makarenko, “Analysis of phase synchronization of chaotic oscillations in terms of symbolic CTQ-analysis”, Zhurnal Tekhnicheskoi Fiziki, 86:2 (2016), 110–118; Tech. Phys., 61:2 (2016), 265–273
A. V. Makarenko, “Graph theory methods application to studying T-synchronization of chaotic systems”, Probl. Upr., 2016, no. 3, 2–15
2013
6.
D. A. Gubanov, A. V. Makarenko, D. A. Novikov, “Methods to analyse terminological structure of subject area”, UBS, 43 (2013), 5–33; Autom. Remote Control, 75:12 (2014), 2231–2247
A. V. Makarenko, V. N. Novoseltsev, “Synergy in the system of natural technologies of human organism”, Probl. Upr., 2012, no. 5, 62–68; Automation and Remote Control, 75:2 (2014), 351–359
8.
A. V. Makarenko, “Multidimensional dynamic processes studied by symbolic analysis in velocity-curvature space”, Zh. Vychisl. Mat. Mat. Fiz., 52:7 (2012), 1248–1260; Comput. Math. Math. Phys., 52:7 (2012), 1017–1028
A. V. Makarenko, “Erratum to: “Analysis of phase synchronization of chaotic oscillations in terms of symbolic CTQ-analysis””, Zhurnal Tekhnicheskoi Fiziki, 87:4 (2017), 639; Tech. Phys., 62:4 (2017), 660
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