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A new method to generate excitation signals for the identification of nonlinear dynamic processes is introduced. The objective of the optimization is a uniform data point distribution in the input space of the nonlinear approximator. This optimization of the excitation signal is passive, thus the whole signal is optimized prior to the measurement of the process and no online adaptation is performed...
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