Modified Lyapunov equations for regional pole constraints in H-2 synth
esis have been considered in recent papers. This approach involves a c
onstraint equation for enforcing the pole constraints and leads to an
auxiliary cost that overbounds the original H-2 performance. The auxil
iary cost can then be used for optimization with respect to the modifi
ed Lyapunov equations that characterize the constraint region. In this
paper, we consider an alpha-shifted constraint region and show that a
n augmented system whose order is twice that of the original system ca
n be constructed to eliminate the need for an overbound so that exact
H-2 cost optimization can be performed. This augmented system is then
utilized for closed-loop controller synthesis within a decentralized s
tatic output feedback setting. The construction of the augmented syste
m is a refinement of the approach of Gu et al. (1992). A numerical alg
orithm based upon the BFGS quasi-Newton method is used for computing t
he optimal controller gains. The numerical results are compared to the
classical exponential cost weighting technique of Anderson and Moore
(1989).