Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: European Conference on Power Electronics and Applications; Aalborg, DENMARK; Aalborg, DENMARK

Год издания: 2007

Идентификатор DOI: 10.1109/EPE.2007.4417630

Ключевые слова: neural network, electrical drive, electromechanical system, optimal control, Model predictive control, Adaptive systems, Artificial intelligence, Computer networks, Control systems, Decision theory, Electromechanical devices, Neural networks, Photolithography, Power electronics, Adaptive control systems

Аннотация: A method of synthesis adaptive locally-optimum control with predicting model for electromechanical systems with casual parameters is presented in detail. Thus for decision of a problem to estimate the changing parameters the theory of multilayered artificial neural networks methods are involved. The method is verified on a two-massПоказать полностьюelectromechanical systems with casual parameters.

Журнал: 2007 European conference on power electronics and applications

Выпуск журнала: VOLS 1-10

Номера страниц: 3279-3285

Место издания: PISCATAWAY

Издатель: IEEE service CTR

• Kolesnikov Artem (Siberian Fed Univ, Shetinkina 655017, Russia)
• Glushkin Evgeny (Siberian Fed Univ, Shetinkina 655017, Russia)
• Podborsky Pavel (Siberian Fed Univ, Shetinkina 655017, Russia)
• Winternheimer Stefan
• Kolesnikov A. (Siberian Federal University)
• Glushkin E. (Siberian Federal University)
• Podborsky P. (Siberian Federal University)
• Winternheimer S. (University of Applied Sciences of Saarland)

• Web of Science Core Collection
• Scopus
• Ядро РИНЦ (eLIBRARY.RU)