V.M. Becerra, F. Garces (UK), J.M.F. Calado, and P.M. Silva (Portugal)
Nonlinear control theory, feedback linearization, dynamic neural networks
This paper describes a method for feedback linearization based on dynamic neural network (DNN) models. The pa rameters of these models can be identified to reproduce the behaviour of a dynamic system. The model is then used to compute the input-output linearization transformations. The same model is used as an open loop observer to provide state information to compute the input-output linearization. An external linear controller is used to control the input output linearized system. The method is applied to a pilot scale pressure plant.
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