The goal of the Model Order Reduction (MOR) technique is to build a model of order lower than the one of the real model, so that the computational effort is reduced, and the ability to estimate the input-output mapping of the original system is preserved in an important region of the input space. Actually, since only a subset of the input space is of interest, the matching is required only in this subset of the input space. In this contribution, the consequences of adopting a reduced order model in structural control applications are discussed with reference to a case study.
Model Order Reduction vs. Structural Control
CASCIATI, FABIO;FARAVELLI, LUCIA;
2012-01-01
Abstract
The goal of the Model Order Reduction (MOR) technique is to build a model of order lower than the one of the real model, so that the computational effort is reduced, and the ability to estimate the input-output mapping of the original system is preserved in an important region of the input space. Actually, since only a subset of the input space is of interest, the matching is required only in this subset of the input space. In this contribution, the consequences of adopting a reduced order model in structural control applications are discussed with reference to a case study.File in questo prodotto:
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