Robotics and Bioinspired Systems
System identification is the process of developing or improving a mathematical representation of a physical system based on measured data. This involves creating models that can accurately capture the behavior and dynamics of systems, making it crucial for control design and analysis. By utilizing techniques from statistics and machine learning, system identification helps in creating models that can predict system responses under various conditions.
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