This paper deals with the problem of synthesizing or designing a feedback c
ontroller of fixed dynamic order for a linear time-invariant plant for a fi
xed plant, as well as for an uncertain family of plants containing paramete
r uncertainty, so that stability, robust stability and robust performance a
re attained. The desired closed-loop specifications considered here are giv
en in terms of a target performance vector representing a desired closed-lo
op design. In general, these point targets are unattainable with a fixed-or
der controller. By enlarging the target from a fixed-point set to an interv
al set the solvability conditions are relaxed and a solution is enabled. Re
sults from the parametric robust control literature can be used to design t
he interval target family so that the poles and zeros of the closed-loop sy
stem are guaranteed to remain in a prescribed region of the complex plane,
and closed-loop performance, measured for instance in the H-infinity norm a
re attained, even when plant uncertainty is present. It is shown that it is
possible to devise a computationally simple linear programming approach th
at attempts to meet the desired closed-loop specifications. The approach de
veloped here gives the entire set of controllers attaining the specificatio
ns as a convex set and also can be recast to give the lowest-order controll
er attaining specifications. (C) 1999 Elsevier Science Ltd. All rights rese
rved.