systems identification

Systems identification is the process of developing mathematical models of a system based on observed data. It involves collecting input and output measurements from the system, then analyzing these data to determine the underlying relationships and parameters that describe its behavior. This method helps in understanding, predicting, and controlling complex systems in fields like engineering, biology, and economics. Essentially, it’s like figuring out the rules that govern how a system responds to different inputs by examining real-world data.