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Document type:
Zeitschriftenaufsatz 
Author(s):
Castagnotto, A.; Lohmann, B. 
Title:
A new framework for H2-optimal model reduction 
Abstract:
In this contribution, a new framework for H2-optimal reduction is presented, motivated by the local nature of both (tangential) interpolation and H2-optimal approximations. The main advantage is given by a decoupling of the cost of reduction from the cost of optimization, resulting in a significant speedup in H2-optimal reduction. In addition, a middle-sized surrogate model is produced at no additional cost and can be used e.g. for error estimation. Numerical examples illustrate the new framewor...    »
 
Journal title:
Mathematical and Computer Modelling of Dynamical Systems 
Year:
2018 
Journal volume:
24 
Year / month:
2018-04 
Quarter:
2. Quartal 
Month:
Apr 
Journal issue:
Pages contribution:
236-257 
Covered by:
Scopus 
Reviewed:
ja 
Language:
en 
Publisher:
Taylor & Francis 
Print-ISSN:
1387-3954 
E-ISSN:
1744-5051 
Status:
Verlagsversion / published 
Accepted:
09.04.2018 
Date of publication:
25.04.2018 
TUM Institution:
Lehrstuhl für Regelungstechnik 
Format:
Text