On identification for robust control: a summary

Summary form only given. Given measured data we propose a model consisting of a linear, time-invariant system affected by perturbation. The systems belonging to the resulting uncertain family form a convex set. Motivated by this representation, a robust control method is explored which allows the computation of a controller maximizing the stability margin. Lower and upper bounds of the optimal stability margin are obtained in terms of different measures of the uncertainty. These bounds describe the relation between the robust performance and the size of the uncertain family. The validation problem ensuing from this framework is also considered. In this presentation we will provide a summary of recent results obtained by the author on the topic of system identification from measured data, for the purpose of robust control