Constantin Voloşencu, "Study of the Angular Positioning of a Rotating Object with Neural Model
Reference Control," WSEAS Transactions on Computers, vol. 20, pp. 234-238, 2021, DOI:10.37394/23205.2021.20.25
Constantin Voloşencu. Study of the Angular Positioning of a Rotating Object with Neural Model
Reference Control.
WSEAS Transactions on Computers. 2021;20:234-238. 10.37394/23205.2021.20.25
WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 20, 2021
Study of the Angular Positioning of a Rotating Object with Neural Model
Reference Control
Author:
Abstract: The study in the paper is placed in the broad context of research for increasing the efficiency of motion control. The purpose of the paper is to make a comparative analysis of the neural predictive control technic with the linear control for angular positioning of mechanical parts. The structure of the neural predictive control system and its design are presented. Transient characteristics obtained are compared from the point of view of their control efficiency criteria. The differences in performance criteria between the control methods studied are small.
Keywords:
Motion control, linear control, deep learning, neural network model reference control, neural identification
Pages: 234-238 WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 20, 2021, Art. #25 DOI: 10.37394/23205.2021.20.25
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