Model error concepts in identification for control

We examine some recent methods for system identification, that also deliver non-parametric error bounds, suited for robust controller design. In particular, we look at stochastic embedding, set membership identification and model error modelling. We briefly review the main ideas together with existing computational solutions and present a comparative example.