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Maglev Data - Driven Modeling using Matlab. In this example we attempt to build a neural network that can predict the dynamic behavior of a

Maglev Data-Driven Modeling using Matlab. In this example we attempt to build a
neural network that can predict the dynamic behavior of a magnet levitated using a control
current. This is an example of a time series problem, where past values of a feedback time
series (the magnet position) and an external input series (the control current) are used to
predict future values of the feedback series.
a. Given the training data, create a neural network model for Maglev dynamical system.
b. Generate output and target response comparison figures.
c. Generate the output error figure.
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