Robust dynamical network structure reconstruction

Ye Yuan

doi:10.1016/j.automatica.2011.03.008

2011-06-01

118

PRE

DOI：10.1016/j.automatica.2011.03.008

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摘要

En 中文

This paper addresses the problem of network reconstruction from data. Previous work identified necessary and sufficient conditions for network reconstruction of LTI systems, assuming perfect measurements (no noise) and perfect system identification. This paper assumes that the conditions for network reconstruction have been met but here we additionally take into account noise and unmodelled dynamics (including nonlinearities). In order to identify the network structure that generated the data, we compute the smallest distances between the measured data and the data that would have been generated by particular network structures. We conclude with biologically inspired network reconstruction examples which include noise and nonlinearities. (C) 2011 Elsevier Ltd. All rights reserved.

Keyword:

Robust network reconstruction

Noise and unmodelled dynamics

Systems biology

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期刊

Automatica

IF:

5.9

论文数:

1.2W

被引数:

5.2W

机构

University of Cambridge

学者数:

7.7W

论文数: 7.1W

被引数: 13.7W

Brigham Young University

学者数:

9.0K

论文数: 6.0K

被引数: 9.3K

Imperial College London

学者数:

8.3W

论文数: 7.3W

被引数: 11.1W

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