The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction. A common approach is to start from measurements of the behavior of the system and the external influences (inputs to the system) and try to determine a mathematical relation between them without going into many details of what is actually happening inside the system; this approach is called system identification.
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System Identification
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Visually Determining Transfer Functions
6 min
Beginner
Video
Theory
Process Control classes can get pretty hard to follow when you lose sight of what transfer functions really are. How do you get them in the first place?
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9 min
Beginner
Video
Theory
Given a system response to a unit step change, in this video I'll cover how we can derive the transfer function so we can predict how our system will respond...
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