Добірка наукової літератури з теми "Multimass electromechanical systems"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Multimass electromechanical systems".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Multimass electromechanical systems"
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) (May 29, 2019): 51–63. http://dx.doi.org/10.15587/1729-4061.2019.169080.
Повний текст джерелаArkadiev, 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.
Повний текст джерелаNikitina, 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.
Повний текст джерелаKhomenko, 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 (July 2, 2015): 37–40. http://dx.doi.org/10.15276/eltecs.19.95.2015.10.
Повний текст джерелаPotapenko, 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.
Повний текст джерелаNikitina, T. B. "PARETO OPTIMAL SOLUTION OF MULTIOBJECTIVE SYNTHESIS OF ROBUST CONTROLLERS OF MULTIMASS ELECTROMECHANICAL SYSTEMS BASED ON MULTISWARM STOCHASTIC MULTIAGENT OPTIMIZATION." Electrical Engineering & Electromechanics, no. 2 (April 29, 2017): 34–38. http://dx.doi.org/10.20998/2074-272x.2017.2.05.
Повний текст джерелаКУЗНЕЦОВ, Б. И., Т. Б. НИКИТИНА, В. В. КОЛОМИЕЦ, and В. В. ХОМЕНКО. "Multiobjective synthesis of stochastic by multimass electromechanical systems based on stochastic multi-agent optimization." Bulletin of the National Technical University "KhPI". A series of "Information and Modeling", no. 62 (December 30, 2014). http://dx.doi.org/10.20998/2411-0558.2014.62.08.
Повний текст джерелаДисертації з теми "Multimass electromechanical systems"
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.
Повний текст джерелаThesis for scientific degree of candidate of engineering science on speciality 05.13.03 – control systems and processes. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2016. The thesis is devoted to solving scientific and practice task of increasing the accuracy of control multimass electromechanical systems with uncertain parameters on the basis of multiobjective approach to the synthesis of anisotropic regulators. A method of multiobjective synthesis of anisotropic regulators multimass electromechanical systems, which allows to meet the diverse requirements that apply to the work multimass electromechanical systems in various modes. Multiobjective synthesis of anisotropic regulators reduced to solution the vector nonlinear programming, in which the calculation of the objective function is algo-rithmic in nature, involving multiple solution of algebraic Riccati equations, Lyapunov equations and special expressions for calculating of anisotropy level. Improved method for solving multiobjective programming problem based on a stochastic multi-agent multi swarm optimization based on Pareto-optimal solutions. Investigated the dynamic characteristics of the synthesized multimass electro-mechanical systems with anisotropic regulators are synthesized from multi approach. The results of the comparisons of dynamic characteristics multimass electro-mechanical systems with synthesized anisotropic regulators and controller types. It is proved that the use of synthetic anisotropic regulators allowed to reduce time of the first coordination by 4.1 times, to reduce the error compensation of random external perturbation 2 times and to reduce the system sensitivity to changes of plant parameters compared to a system with standard controllers. Experimental on the stand two-mass electromechanical system found that the use of synthesized anisotropic regulators can reduce time of the first coordination by 2 times, reduce the error speed control for random change of the load torque is 2 times as compared with the system controller types.
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.
Повний текст джерелаThesis for scientific degree of candidate of engineering science on speciality 05.13.03 – control systems and processes. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2016. The thesis is devoted to solving scientific and practice task of increasing the accuracy of control multimass electromechanical systems with uncertain parameters on the basis of multiobjective approach to the synthesis of anisotropic regulators. A method of multiobjective synthesis of anisotropic regulators multimass electromechanical systems, which allows to meet the diverse requirements that apply to the work multimass electromechanical systems in various modes. Multiobjective synthesis of anisotropic regulators reduced to solution the vector nonlinear programming, in which the calculation of the objective function is algo-rithmic in nature, involving multiple solution of algebraic Riccati equations, Lyapunov equations and special expressions for calculating of anisotropy level. Improved method for solving multiobjective programming problem based on a stochastic multi-agent multi swarm optimization based on Pareto-optimal solutions. Investigated the dynamic characteristics of the synthesized multimass electro-mechanical systems with anisotropic regulators are synthesized from multi approach. The results of the comparisons of dynamic characteristics multimass electro-mechanical systems with synthesized anisotropic regulators and controller types. It is proved that the use of synthetic anisotropic regulators allowed to reduce time of the first coordination by 4.1 times, to reduce the error compensation of random external perturbation 2 times and to reduce the system sensitivity to changes of plant parameters compared to a system with standard controllers. Experimental on the stand two-mass electromechanical system found that the use of synthesized anisotropic regulators can reduce time of the first coordination by 2 times, reduce the error speed control for random change of the load torque is 2 times as compared with the system controller types.
Тези доповідей конференцій з теми "Multimass electromechanical systems"
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.
Повний текст джерела