Model Order Reduction for Frequency Response and Effect of Order of Method for Matching Condition

In this paper, model order reduction method is used
for approximation in linear and nonlinearity aspects in some
experimental data. This method can be used for obtaining offline
reduced model for approximation of experimental data and can
produce and follow the data and order of system and also it can
match to experimental data in some frequency ratios. In this study,
the method is compared in different experimental data and influence
of choosing of order of the model reduction for obtaining the best and
sufficient matching condition for following the data is investigated in
format of imaginary and reality part of the frequency response curve
and finally the effect and important parameter of number of order
reduction in nonlinear experimental data is explained further.

• Aref Ghafouri
• Mohammad Javad Mollakazemi
• Farhad Asadi

• Frequency response
• Order of model reduction
• frequency matching condition.

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