V. S. Soualian

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Previous accomplishments pertaining to the control of various parameters of an intense beam-driven relativistic backward wave oscillator (BWO) include maintaining a specified or desired output power over a determined frequency bandwidth, and maintaining a constant frequency over a wide range of power. This was accomplished using an iterative learning(More)
In this paper, we present our progress towards designing a \smart" high-peak power microwave tube. We use learning control methodologies in order to control a repetitively-pulsed, high-power, backward wave oscillator. The learning control algorithm is used to drive the error between the actual output and its desired value to zero. The desired output may be(More)
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