System identification
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 black box system identification.
| Black box systems | |
|---|---|
| System | |
| Black box, Oracle machine | |
| Methods and techniques | |
| Black-box testing, Blackboxing | |
| Related techniques | |
| Feed forward, Obfuscation, Pattern recognition, White box, White-box testing, Gray-box testing, System identification | |
| Fundamentals | |
| A priori information, Control systems, Open systems, Operations research, Thermodynamic systems | |
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