The Youla parametrization of two-degree-of-freedom controllers reveals that
the design of the prefilter and the design of the regulator can be done in
dependently. In this paper, a unified framework is proposed to address the
design of the feedforward part of a two-degree-of-freedom controller. The a
pproach deals both with tracking of a causal reference signal and with reje
ction of a causal measurable disturbance. It is shown that the determinatio
n of a feedforward filter, with a constraint on the nominal control effort,
reduces to the solution of a particular full-information problem. The appr
oach is attractive because it leads to a significant reduction in the numbe
r of decision variables in the design process. The method also extends natu
rally to plants in a polytope. Its effectiveness is demonstrated on two num
erical examples. In the first example, the design of a linear time-invarian
t feedforward controller is carried out to reject a measurable disturbance
and to follow a reference signal; while in the second example, we address t
he design of a robust gain scheduled two-degree-of-freedom controller. (C)
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