The problem here is that the effort can become very large very quickly: With 8 parameters (factors) with five levels each, a full-factorial experimental design with a total of 58=390625 experiments results. This simple approach is called a full factorial design. In extreme cases, you play through all the combinations and then know how the system will behave in all possible cases. ![]() The procedure is as follows: You change something in the system (a model parameter or factor) and see what happens. For example, the system can be a real technical plant or a simulation model. The motivation for conducting a parameter study is generally new knowledge that one wants to gain about a system. Why a parameter study and what is an experimental design?
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