Abstract

We will develop a time-averaging method to compute an approximate control for a stochastic differential equation. The obtained control is nonstochastic, easy to compute, and has an absolute advantage in exactness with admissible probabilities compared to direct approximate control. The results are applied to a linear reactor under small white noise and are verified through numerical simulations.

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