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System identification is the process of using data, rather than physics, to develop a model of a dynamic system. We are trying to identify the underlying dynamics that produce the observed system behavior. And in this series, were going to look at different ways we can approach system identification for linear systems, nonlinear systems, and for online and recursive system identification. But before we get into all of those specifics-- in this video, lets just take a step back and figure out, more generally, what system identification is and where it fits in the bigger picture. Im Brian, and welcome to a Matlab Tech Talk. Lets start by talking a little bit about models. In general, a model is a simplified representation of the real system. And the idea is that you develop something that mimics the essential features of the system youre interested in and then leaves out everything else. And having a simplified representation has a lot of benefits. For example, if youre designing
