Internal Model Controller tuning using the Virtual Reference Approach with Robust Stability

Abstract In this paper a data-driven methodology based on the Virtual Reference Feedback Tuning is presented for the tuning of Internal Model Controllers. A data based test is presented to check the robust stability of the controller in the loop, taking advantage of the control structure. Two different examples are shown where the presented method successfully controls a non-minimum phase discrete time plant and a non-linear continuous time process.

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