An extension of the best linear controller to a polynomial controller for non-Gaussian disturbances

摘要

The problem of finding the optimal controller (or optimal estimator) in the mean square sense for linear systems which are disturbed by Gaussian additive noise is, by now, a completely solved problem [1], [2]. If fact, the optimal controller turns out to be a linear function of the observations.