In this paper, an experimental validation of a parameterized Nonlinear Model Predictive Control (NMPC) scheme with a Moving Horizon Observer (MHO) is presented for a Diesel engine air path. The control design based on the parameterized approach leads to a low dimensional optimization problem which makes the proposed controller real-time implementable. An attractive feature of this control strategy lies in its compatibility with more elaborated and fully nonlinear models since it uses the model as a black box predictor.
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