This paper provides a normalized Iterative Feedback Tuning (IFT)method that assures the boundedness of the gradient vector estimate ΔJ(p) and the Hessian matrix estimate H without the assumption thatthe internal signals are bounded. The proposed method uses theunbiased Gauss-Newton direction by the addition of the 4-thexperiment. We also present blended control criteria and a PID-likecontroller as new design choices.
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