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In modeling the system, Coriolis forces, gyroscopic moments and centrifugal stiffening effects are taken into account.
A novel dry zone-wet zone theory is proposed for modeling the system.
Numerical sensitivity analysis is performed to investigate which physical parameters are dominant when modeling the system.
However, the traditional GO methodology is insufficient in modeling the system with feedback signals, which are common in those systems.
In this paper, this approach is extended by modeling the system in a general dioid algebraic setting.
For modeling the system with nonzero initial conditions, the auxiliary signal is constructed in the compensation scheme.
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Finite element method (FEM) is used to model the system.
It said it modelled the system on the way brains work to improve its accuracy.
One can model the system using elements such as input, output and activities.
Modeling the cooking system.
DEs have a long history in modeling the immune system.
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