System identification is a method used in control engineering and signal processing to develop mathematical models of dynamical systems based on measured data. It involves the following key steps: 1. **Data Collection**: Gathering input-output data from the system during various operating conditions. This data can be collected through experiments or from real-time operations. 2. **Model Structure Selection**: Choosing a suitable structure for the model that represents the system.
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