Gradient identification method of the model parameters for electrohydraulic servo drive of FESTO learning system. Issue 1 (November 2020)

Record Type:: Journal Article
Title:: Gradient identification method of the model parameters for electrohydraulic servo drive of FESTO learning system. Issue 1 (November 2020)
Main Title:: Gradient identification method of the model parameters for electrohydraulic servo drive of FESTO learning system
Authors:: Kulakov, B
Kulakov, D
Qi, Long
Abstract:: Abstract: Gradient identification method of the model parameters for electrohydraulic servo drive is considered. The method is adapted to be implemented by an experimental complex consists from FESTO hydraulic learning system and Matlab/Simulink. The implementation of the considered identification algorithm in the Matlab/Simulink package is shown.
Is Part Of:: IOP conference series. Volume 963:Issue 1(2020)
Journal:: IOP conference series
Issue:: Volume 963:Issue 1(2020)
Issue Display:: Volume 963, Issue 1 (2020)
Year:: 2020
Volume:: 963
Issue:: 1
Issue Sort Value:: 2020-0963-0001-0000
Page Start:
Page End:
Publication Date:: 2020-11
Subjects:: Materials science -- Periodicals
620.1105
Journal URLs:: http://iopscience.iop.org/1757-899X ↗
http://ioppublishing.org/ ↗
DOI:: 10.1088/1757-899X/963/1/012025 ↗
Languages:: English
ISSNs:: 1757-8981
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 15025.xml