System Identification for Robust Control Based on Frequency Response

Abstract

This paper is concerned with system identification for robust control in the frequency domain. We propose a new method for identification of both the nominal plant model and its additive uncertainty bound. The method produces the model that minimizes theL^∞norm of the modeling error using the set-membership method. A numerical example is given to demonstrate the validity of the proposed identification method.