Interval methods for nonlinear identification and robust control

Key ideas of interval analysis and constraint propagation are presented and applied to two problems frequently encountered in control. The first one is the guaranteed characterization of the set of all parameter vectors that are consistent with experimental data up to bounds on the acceptable errors. The second one is the guaranteed characterization of the set of all PI controllers robustly stabilizing a set of models that may have been obtained as the solution to the first problem.