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
Model Order Reduction Issues for Structural Control Applications
CASCIATI, FABIO;FARAVELLI, LUCIA;
2012-01-01
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. INTRODUCTIONFile in questo prodotto:
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