Sampled-Data Control of Interval Systems with Guaranteed LQ/H2 Performance

Robustness is one of the many important properties a control system should present, together with its performance. In this paper, we consider linear systems with interval uncertainties and propose design techniques for robust controllers that ensure an upper bound for an associated quadratic cost. These results are also extended for the sampled-data case and can deal with time-varying uncertainties. Numerical examples point out the main features of the proposed methods.