Electrical & Computer Engineering Faculty Publications
Document Type
Article
Publication Date
6-1-1996
Abstract
This paper discusses an approach to model the input/output characteristics of the Sinus-6 electron beam accelerator-driven backward wave oscillator. Since the Sinus-6 is extremely fast to warrant the inclusion of dynamical effects, and since the sampling interval in the experiment is not fixed, a static continuous neural network model is used to fit the experimental data. Simulation results show that such a simple nonlinear model is sufficient to accurately describe the input/output behavior of the Sinus-6-driven backward wave oscillator (BWO) and that the fitted output waveforms are basically noiseless. This model will be used to control the BWO in order to maximize the radiated power and the efficiency. This paper is also intended to introduce high-power microwave researchers to control concepts that may enhance the outputs of a wide spectrum of sources.
Publisher
IEEE
Publication Title
IEEE Transactions on Plasma Science
ISSN
0093-3813
Volume
24
Issue
3
First Page
879
Last Page
883
DOI
10.1109/27.533091
Language (ISO)
English
Sponsorship
IEEE
Keywords
Acceleration, Chaos, Robust control
Recommended Citation
Abdallah, Chaouki T.; Wei Yang; Edl Schamiloglu; and Larald D. Moreland.
"A neural-network model of the input/output characteristics of a high-power backward wave oscillator."
IEEE Transactions on Plasma Science
