ABSTRACT
In control system design the primary requirement is the asymptotic stability of controlled systems. In automatic control this is guaranteed through the design of an appropriate controller based on the nominal model of the process. However, in reality there may be several sources of uncertainty which make the nominal model inaccurate. Robust control deals explicitly with system uncertainties which are accounted for by differences between the real model and nominal model. Robust control guarantees controlled system performance (primarily asymptotic stability) when there are uncertainties.
