Abstract
The stochastic variability is investigated in the experimental results from an acoustic grain loss monitor and a table auger torque sensor on a combine harvester. A bivariate first-order autoregressive first-order moving-average model is identified and used to specify optimal control systems for adjusting combine forward speed to maintain constant threshing losses. These provide upper bounds on the benefits of practical forward speed control systems.
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