  Stabilization of linear control systems with parameter-dependent system
matrices is investigated. A Riccati based feedback mechanism is proposed and
analyzed. It is constructed by means of an ensemble of parameters from a
training set. This single feedback stabilizes all systems of the training set
and also systems in its vicinity. Moreover its suboptimality with respect to
optimal feedback for each single parameter from the training set can be
quantified.
