Identification of a nonlinear multi stand rolling system by a structured recurrent neural network

In this paper, the authors present an identification method for mechatronic systems consisting of a linear part with unknown parameters and an unknown nonlinearity (systems with an isolated nonlinearity). A structured recurrent neural network is used to identify the unknown parameters of the known signal flow chart. The novelty of this approach is the simultaneous identification of the parameters of the linear part and the nonlinearity. Prior structural and parameter knowledge are used in a natural way.

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