CUED Publications database

Network structure preserving model reduction with weak a priori structural information

Yeung, E and Gonçalves, J and Sandberg, H and Warnick, S (2009) Network structure preserving model reduction with weak a priori structural information. Proceedings of the IEEE Conference on Decision and Control. pp. 3256-3263. ISSN 0191-2216

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Abstract

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. ©2009 IEEE.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 12:20
Last Modified: 16 Dec 2014 19:07
DOI: 10.1109/CDC.2009.5400375