Abstract
This paper describes an optimal neural controller, applied to a turbocharger diesel engine. It presents the training of a neural controller, based on the theory of backpropagation, for trajectory tracking of the engine speed. The Gauss-Newton algorithm will be explained in a recursive manner, including a forgetting factor for time varying systems. Some simulation results are presented.
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