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Smart Structures and Systems
  Volume 13, Number 1, January 2014 , pages 99-109
DOI: https://doi.org/10.12989/sss.2014.13.1.099
 

Quantity vs. Quality in the Model Order Reduction (MOR) of a Linear System
Sara Casciati and Lucia Faravelli

 
Abstract
    The goal of any 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 on the achieved accuracy of adopting different reduction technique patterns is discussed mainly with reference to a linear case study.
 
Key Words
    dynamic analysis; model order reduction (MOR); numerical model; truncation
 
Address
Sara Casciati:Department DICA, University of Catania, Piazza Federico di Svevia, 96100 Siracusa, Italy
Lucia Faravelli: Department DICAR, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
 
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