Prof. Dr. Diego Eckhard
Universidade Federal do Rio Grande do Sul
Campus do Vale - Building 43112 - Room 218 (email)
Campus do Vale - Building 43112 - Room 218 (email)
This paper studies a one-shot (non-iterative) data-based method for Model Reference (MR) control design. It shows that the optimal controller can be obtained as the solution of a Prediction Error (PE) identification problem that directly estimates the controller parameters through a reparametrization of the input-output model. The standard tools of PE Identification can thus be used to analyze the statistical properties (bias and variance) of the estimated controller. It also shows that, for MR control design, direct and indirect data-based methods are essentially equivalent.
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