System identification is the process of developing or improving a mathematical representation of a system based on measured data. This involves using input-output data to create models, such as transfer functions or impulse responses, that capture the behavior of systems, particularly in dynamic environments like biological processes. The ability to accurately model a system is crucial for prediction, control, and understanding its underlying mechanisms.
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