Comparison of Theoretical Modelling and Identification

S.No. Theoretical Modelling Identification
1. Model structure follows from laws of nature. Model structure must be assumed.
2. Modelling of input-output behavior as well as the internal behaviour. Only the input-output behaviour is identified.
3. Model parameters are given as function of system properties. Model parameters are numbers only. In general no functional dependency to system properties known.
4. Model is valid for the entire class of processes of a certain type & for different operating conditions. Model is valid for investigating system and within operating limits.
5. Model coefficients are not known exactly. Model coefficients are more precise for the given system within operating limits.
6. Models can be built for non-existing systems. Model can only be identified for any existing systems.
7. The internal behaviour of the system must be known and must be describable mathematically. Identification methods are independent of the investigated systems and can be applied to many different systems.
8. Typically lengthy processes which takes up much time. Fast process if identification methods exist already.
9. Models may be complex and detailed. Model size can be adjusted according to the area of application.

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