Abstract
Many methods exist for model reduction of dynamical systems. However, only in a few cases a method can be picked from the literature and applied just like pushing a button. The structure and properties of the target system need to be investigated prior to model reduction. Natural gas pipeline systems are complex, large-scale systems with a special structure which must be recognized. Model reduction methods suitable for interconnected systems are tested on a true natural gas pipeline system with 600 state variables and almost 200 input variables.
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