A frequency domain approach to identification, uncertainty characterization and robust control design

This paper demonstrates an approach to frequency domain identification for the explicit purpose of designing robust H_∞ controllers. The approach transforms raw experimental data into a plant set estimate directly usable by modern robust control design software. A key issue in control design from raw data is the question of whether the controller will work when applied to the true system. The main feature of this approach is that the resulting controller is guaranteed to work as designed (when applied to the true system) to a prescribed statistical confidence. While the overall methodology addresses key theoretical issues, it has at the same time been specifically designed to support practical implementations. A simulation example is included the demonstrate the overall approach