Data-Based Control Design for a Process Class with Guaranteed Convergence to the Globally Optimum Controller

Citation:
Eckhard, D, Campestrini L, Bergel ME, Bazanella AS.  2009.  Data-Based Control Design for a Process Class with Guaranteed Convergence to the Globally Optimum Controller. European Control Conference 2009. :993–998., Budapest: IEEE

Abstract:

This work addresses data-based (DB) control design; the properties and limitations inherent to DB design are discussed under a common theoretical framework and illustrated through experimental results. Theoretical results concerning the convergence and precision are discussed and specified for a particular class of processes. Two DB methods, representative of this design approach, are used to illustrate the general properties of DB design: the Virtual Reference Feedback Tuning (VRFT) and the Iterative Feedback Tuning (IFT).

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