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We present a technique for nonlinear system identification and model reduction using artificial neural networks (ANNs). The ANN is used to model plant input-output data, with the states of the model being represented by the outputs of an intermediate hidden layer of the ANN. Model reduction is achieved by applying a singular value decomposition (SVD)-based technique to the weight matrices of the ANN...
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