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 | |
The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data.[1] 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.