You can create uncertain models by combining nominal dynamics with uncertain elements, such as uncertain parameters or unmodeled dynamics. You can analyze the impact of plant model uncertainty on control system performance and identify worst-case combinations of uncertain elements. H-infinity and mu-synthesis techniques let you design controllers that maximize robust stability and performance.

The toolbox adds robust tuning to the automated tuning capabilities of Control System Toolbox. The tuned controllers can be decentralized with multiple tunable blocks spanning multiple feedback loops. You can optimize performance for the nominal plant while enforcing a lower, minimum performance over the entire range of uncertainty.