Relevant bibliographies by topics / Multimass electromechanical systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Multimass electromechanical systems'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Multimass electromechanical systems"

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Kuznetsov, B. I., T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, and B. B. Kobylianskyi. "The method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems." Electrical Engineering & Electromechanics, no. 4 (July 8, 2022): 12–20. http://dx.doi.org/10.20998/2074-272x.2022.4.02.

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Aim. Development of the method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems to satisfy various requirements for the operation of multi-mass systems in various modes. Methodology. The problem of multi objective synthesis of nonlinear robust control of multimass electromechanical systems is formulated and the possibility of satisfying various requirements for the operation of such systems in various modes based on the concept of functionally multiple membership of the state vector and the solution of the Hamilton-Jacobi-Isaacs equation is shown.
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B., I. Kuznetsov, B. Nikitina T., V. Bovdui I., V. Voloshko O., V. Kolomiets V., and B. Kobylianskyi B. "The method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems." Electrical Engineering & Electromechanics, no. 4 (July 8, 2022): 12–20. https://doi.org/10.20998/2074-272X.2022.4.02.

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<strong><em>Aim.</em></strong><em>&nbsp;Development of the method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems to satisfy various requirements for the operation of multi-mass systems in various modes.&nbsp;<strong>Methodology.&nbsp;</strong>The problem of multi objective synthesis of nonlinear robust control of multimass electromechanical systems is formulated and the possibility of satisfying various requirements for the operation of such systems in various modes based on the concept of functionally multiple membership of the state vector and
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Kuznetsov, B. I., T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, and B. B. Kobylianskyi. "The method of multi objective synthesis of stochastic robust control by multimass electromechanical systems under non-gausian random external disturbances." Electrical Engineering & Electromechanics, no. 5 (September 6, 2022): 21–30. http://dx.doi.org/10.20998/2074-272x.2022.5.04.

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Aim. Development of the method of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances. Methodology. The problem of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances solved based on the choosing of weight matrices in the robust control goal vector.The cal
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B., I. Kuznetsov, B. Nikitina T., V. Bovdui I., V. Voloshko O., V. Kolomiets V., and B. Kobylianskyi B. "The method of multi objective synthesis of stochastic robust control by multimass electromechanical systems under non-gausian random external disturbances." Electrical Engineering & Electromechanics, no. 5 (September 7, 2022): 21–30. https://doi.org/10.20998/2074-272X.2022.5.04.

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<strong><em>Aim</em></strong><em>. Development of the method of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances.&nbsp;<strong>Methodology</strong>. The problem of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances</em>&nbsp;<em>solved based on the cho
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Gennady, Kaniuk, Vasylets Tetiana, Varfolomiyev Oleksiy, Mezerya Andrey, and Antonenko Nataliia. "Development of neural­network and fuzzy models of multimass electromechanical systems." Eastern-European Journal of Enterprise Technologies 3, no. 2(99) (2019): 51–63. https://doi.org/10.15587/1729-4061.2019.169080.

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The study objective was to construct models of multimass electromechanical systems using neural nets, fuzzy inference systems and hybrid networks by means of MATLAB tools. A model of a system in a form of a neural net or a neuro-fuzzy inference system was constructed on the basis of known input signals and signals measured at the system output. Methods of the theory of artificial neural nets and methods of the fuzzy modeling technology were used in the study. A neural net for solving the problem of identification of the electromechanical systems with complex kinematic connections was synthesiz
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Kaniuk, Gennady, Tetiana Vasylets, Oleksiy Varfolomiyev, Andrey Mezerya, and Nataliia Antonenko. "Development of neural­network and fuzzy models of multimass electromechanical systems." Eastern-European Journal of Enterprise Technologies 3, no. 2 (99) (2019): 51–63. http://dx.doi.org/10.15587/1729-4061.2019.169080.

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Arkadiev, Victor Yu. "Stability Conditions for Systems of Subordinate Control of Multimass Elastic Electromechanical Systems." Journal of Automation and Information Sciences 31, no. 1-3 (1999): 80–86. http://dx.doi.org/10.1615/jautomatinfscien.v31.i1-3.310.

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Nikitina, T. B. "MULTIOBJECTIVE SYNTHESIS OF ROBUST CONTROL BY MULTIMASS ELECTROMECHANICAL SYSTEMS BASED ON PARETO-OPTIMAL SOLUTION." Electrical Engineering & Electromechanics, no. 1 (February 27, 2015): 29–35. http://dx.doi.org/10.20998/2074-272x.2015.1.06.

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Khomenko, Viktor V., Valery V. Kolomiec, Boris I. Kuznetsov, and Tatyana B. Nikitina. "Multiobjective Stochastic Optimization by Particle Multiswarm of Anisotropic Regulators of Multimass Electromechanical Systems with Parametric Uncertainty." ELECTRICAL AND COMPUTER SYSTEMS 19, no. 95 (2015): 37–40. http://dx.doi.org/10.15276/eltecs.19.95.2015.10.

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Potapenko, E. M., A. E. Kazurova, and A. V. Savranskaya. "Review of works on dynamics of multimass uncertain electromechanical systems carried out in ZNTU electric drive department." Electrical Engineering and Power Engineering, no. 1 (July 22, 2011): 7–10. http://dx.doi.org/10.15588/1607-6761-2011-1-1.

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Dissertations / Theses on the topic "Multimass electromechanical systems"

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Хоменко, Віктор Віталійович. "Багатокритеріальний синтез систем із анізотропійними регуляторами на основі стохастичної мультиагентної оптимізації". Thesis, Українська інженерно-педагогічна академія, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22705.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.03 – системи та процеси керування. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016. У роботі вирішена науково-практична задача підвищення точності керування багатомасовими електромеханічними системами з невизначеними параметрами на основі багатокритеріального підходу до стохастичних робастних методів. Розроблено метод багатокритеріального синтезу анізотропійних регуляторів для керування багатомасовими електромеханічними системами із параметричною невизначеністю. Ба
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Хоменко, Віктор Віталійович. "Багатокритеріальний синтез систем із анізотропійними регуляторами на основі стохастичної мультиагентної оптимізації". Thesis, НТУ "ХПІ", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22704.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.03 – системи та процеси керування. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016. У роботі вирішена науково-практична задача підвищення точності керування багатомасовими електромеханічними системами з невизначеними параметрами на основі багатокритеріального підходу до стохастичних робастних методів. Розроблено метод багатокритеріального синтезу анізотропійних регуляторів для керування багатомасовими електромеханічними системами із параметричною невизначеністю. Баг
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Conference papers on the topic "Multimass electromechanical systems"

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Kolesnikov, Artem, Evgeny Glushkin, Pavel Podborsky, and Stefan Winternheimer. "A new method of adaptive predictive control in multimass electromechanical systems with variable parameters." In 2007 European Conference on Power Electronics and Applications. IEEE, 2007. http://dx.doi.org/10.1109/epe.2007.4417630.

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