Iterative feedback tuning—an overview

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Data‐driven model reference control with asymptotically guaranteed stability (2011, methodology): “In iterative feedback tuning (IFT) [1] and iterative correlation-based tuning (ICbT) [3], a gradient approach is used to find a (local) optimum of the control objective.”
Improving Convergence of Iterative Feedback Tuning (2009, methodology): “References [5] and [13] provide an extensive overview of the development of the method and of some of its applications.”
From experiment design to closed-loop control (2005, background): “Iterative feedback tuning (IFT) (Hjalmarsson, Gevers, Gunnarsson, & Lequin, 1998; Hjalmarsson, 2002) is a generalization of the idea above.”
A fictitious reference iterative tuning (FRIT) in the two-degree of freedom control scheme and its a (2005, background): “, 2002), and so on) and was studied in (Hjalmarsson et al., 2002), (Bruyne et al.”
A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems (2011, methodology): “For details about the IFT method, please refer to [21]–[24].”
From model-based control to data-driven control: Survey, classification and perspective (2013, background): “Other modifications are explored in [51].”