Abstract
In this paper we develop a nonlinear control strategy based on a Nonlinear Output Error (NOE) model structure that uses Canonical High Level Piecewise Linear (HL CPWL) functions to approximate the nonlinear system. This model structure allows the implementation of identification and control algorithms that allows to increase or decrease very easily the complexity of the model during the identification process. This property is very attractive because it allows to find the appropriate NOE model without overfitting. Using this CPWL NOE model structure, we define a simple local linear control scheme.
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