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NN-Based Approximate Model Control for the EAF Electrode Regulator System
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper proposes a robust adaptive neural network controller (RANNC) for electrode regulator system.
According to the characteristics of electrode regulator system, an affine-like equivalent model is first derived.
Then, the nonlinear control law is derived directly based on the affine-like equivalent model identified with neural networks, which avoids complex control development and intensive computation.
The control scheme is simple enough that it can be implemented on an automotive microcontroller system, and the performance meets the system requirements.
The stability of the system is established by the Lyapunov method.
Several simulations illustrate the effectiveness of the controller.
American Psychological Association (APA)
Li, Lei. 2013. NN-Based Approximate Model Control for the EAF Electrode Regulator System. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1011032
Modern Language Association (MLA)
Li, Lei. NN-Based Approximate Model Control for the EAF Electrode Regulator System. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1011032
American Medical Association (AMA)
Li, Lei. NN-Based Approximate Model Control for the EAF Electrode Regulator System. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1011032
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011032