The decomposition of the overall forced response into a steady-state and a transient component can be exploited to find reduced-order models that retain both long-term and short-term characteristics of the original system behaviour. To this purpose, the state-space expressions of the aforementioned components in response to inputs with rational transform are derived. The reduced-order model is then obtained by considering separately the asymptotic and transient terms. The suggested approach is tested on benchmark examples of very high dimension.

State-response decomposition for model reduction

CASAGRANDE, Daniele;VIARO, Umberto
2016

Abstract

The decomposition of the overall forced response into a steady-state and a transient component can be exploited to find reduced-order models that retain both long-term and short-term characteristics of the original system behaviour. To this purpose, the state-space expressions of the aforementioned components in response to inputs with rational transform are derived. The reduced-order model is then obtained by considering separately the asymptotic and transient terms. The suggested approach is tested on benchmark examples of very high dimension.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11390/1105251
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