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EnglishThe goal of Model Order Reduction (MOR) is to catch an accurate model of order lower than that of the real model. The reduced order model should be characterized by a low computational effort but able to estimate the input-output map of the original system in an important region of the input space. This contribution emphasizes some consequences of the adoption of a reduced order model when structural control applications are pursued. Special attention is focused on the sensors placement. I. INTRODUCTION
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| Titolo: | Model Order Reduction Issues for Structural Control Applications | |
| Autori: | ||
| Data di pubblicazione: | 2012 | |
| Abstract: | The goal of Model Order Reduction (MOR) is to catch an accurate model of order lower than that of the real model. The reduced order model should be characterized by a low computational effort but able to estimate the input-output map of the original system in an important region of the input space. This contribution emphasizes some consequences of the adoption of a reduced order model when structural control applications are pursued. Special attention is focused on the sensors placement. I. INTRODUCTION | |
| Handle: | http://hdl.handle.net/11571/586220 | |
| ISBN: | 9783990330463 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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