Adaptive Control using AI for the Induction Motors which Drive the Hearth of an Industrial Furnace-Reference-Cited by-同舟云学术

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Adaptive Control using AI for the Induction Motors which Drive the Hearth of an Industrial Furnace

Published:2022-11-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Motorga Roxana-Maria¹,Muresan Vlad¹,Abrudean Mihail¹,Valean Honoriu¹,Clitan Iulia¹,Chifor Laurentiu¹,Unguresan Mihaela²

Affiliation:

1. Technical University of Cluj-Napoca,Automation Department,Cluj-Napoca,Romania

2. Technical University of Cluj-Napoca,Physics and Chemistry Department,Cluj-Napoca,Romania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987724/9987729/09988518.pdf?arnumber=9988518

Reference13 articles.

1. Deep learning for missing value imputation of continuous data and the effect of data discretization

2. Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route

3. Topology-optimized catenary- like metasurface for wide-angle and high-efficiency deflection: from a discrete to continuous geometric phase;mingfen;Opt Express,2021

4. Discretized quasi-time- dependent H? control for continuous-time switched linear systems with persistent dwell-time;yanhui;International Journal of Robust and Nonlinear Control,2021

5. Optimizing semiconductor processing open tube furnace performance: comparative analysis of PI and Mamdani fuzzy-PI controllers

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