Abstract
A microcomputer-based implementation of an optimal stochastic regulator for a feeding process is presented. It is shown that the regulator design can be interpreted as a problem of linear optimal signal estimation. The theory of the stationary Kalman - or Wiener - Filter is applied to the problem to obtain the - in the sense of minimum mean square feeding error variance - linear optimal control law. A parametric model of the noise processes is derived.It is shown how to obtain the paraméters of the model out of measurements at the physical process during the normal feeding operation using a linear Least Squares Estimator.
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