Identification of a class of nonlinear systems using dynamic neural network structures

In this paper two dynamic neural network structures for identification of a class of nonlinear systems are introduced. It will be shown that the proposed structures are capable of representing the class of nonlinear systems considered. Moreover, selection criteria are proposed for specifying the fixed structural parameters of the networks.

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