This paper focuses on the problem of quadratic dissipative control for
linear systems with or without uncertainty. We consider the design of
feedback controllers to achieve (robust) asymptotic stability and str
ict quadratic dissipativeness. Both linear static state feedback and d
ynamic output feedback controllers are considered. First, the equivale
nce between strict quadratic dissipativeness of linear systems and a H
-infinity, performance is established. Necessary and sufficient condit
ions for the solution of the quadratic dissipative control problem are
then obtained using a linear matrix inequality (LMI) approach. As for
uncertain systems, we consider structured uncertainty characterized b
y a dissipative system. This uncertainty description is quite general
and contains commonly used types of uncertainty, such as norm-bounded
and positive real uncertainties, as special cases. It is shown that th
e robust dissipative control problem can be solved in terms of a scale
d quadratic dissipative control problem without uncertainty. LMI-based
methods for designing robust dissipative controllers are also derived
. The results of this paper unify existing results on H-infinity, and
positive real control and provide a more flexible and less conservativ
e robust control design as it allows for a better trade-off between ph
ase and gain performances.