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Time Series and Control Systems

Model nonlinear dynamic systems using shallow networks; make predictions using sequential data.

Dynamic neural networks including NARX and Time-Delay; create Simulink models; control nonlinear systems using model-predictive, NARMA-L2, and model-reference neural networks.

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