Reference : Network structure preserving model reduction with weak a priori structural information
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/10993/20360
Network structure preserving model reduction with weak a priori structural information
English
Yeung, E. mailto [> >]
Goncalves, Jorge mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Sandberg, H. [> >]
Warnick, S. mailto [> >]
2009
The proceedings of the Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference
IEEE
3256-3263
Yes
978-1-4244-3872-3
Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference
December 16-18, 2009
Shangai
China
[en] This paper extends a state projection method for structure preserving model reduction to situations where only a weaker notion of system structure is available. This weaker notion of structure, identifying the causal relationship between manifest variables of the system, is especially relevant is settings such as systems biology, where a clear partition of state variables into distinct subsystems may be unknown, or not even exist. The resulting technique, like similar approaches, does not provide theoretical performance guarantees, so an extensive computational study is conducted, and it is observed to work fairly well in practice. Moreover, conditions characterizing structurally minimal realizations and sufficient conditions characterizing edge loss resulting from the reduction process, are presented.
http://hdl.handle.net/10993/20360
10.1109/CDC.2009.5400375

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