Abstract
This paper presents a unification of methodology in the frequency-domain approach to the regulation of linear stochastic time-invariant systems, in which the stochastic processes involved are not necessarily second-order stationary. Various well-known techniques which are currently of interest to statisticians are shown to be special cases. By employing the powerful technique of evolutionary spectral analysis to update the “old” frequency-domain approach, this paper demonstrates that a workable frequency-domain approach can prove to be a reasonable alternative to the time-domain approach.
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