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Therefore, reduced order models are employed in many applications.
For this reason, reduced order models are particularly relevant for the design of these systems.
It is observed that the lower order models are unable to deal with torsion.
For advanced process control and other model based real-time applications, reduced order models are required.
Reduced order models are computed based on the finite number of frequency response samples of the full order model.
Simulation results for both first and second order models are presented to demonstrate the efficacy of the proposed methodologies.
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Corresponding results for third-order models are also given.
First-order models are in common use for design of treatment wetlands.
As a first step to use active control, computationally efficient reduced-order models are required.
Reduced-order models are also used to study linear vibrations about a predeformed configuration.
As a by-product, reduced-order models are identified for various plate geometries and lamination schemes.
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