System identification is the process of developing or improving a mathematical model of a dynamic system based on measured data. This technique is crucial for understanding how systems behave and for making predictions about their future behavior, often relying on statistical methods to analyze data collected from the system in question. The quality of a model derived through system identification is essential for effective control, estimation, and prediction in various applications.
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