System identification is the process of developing mathematical models that describe the behavior of a dynamic system based on measured data. In the context of feedback control for neuroprosthetics, this involves using experimental data to create models that can predict how a prosthetic device responds to user commands and external stimuli, enabling better control and functionality.
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