期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 53, 期 7, 页码 1670-1674出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2008.928114
关键词
network reconstruction; networked systems; systems biology
资金
- National Science Foundation [DMS0639328]
- Nuffield Foundation [NAL/01062/G]
- EPSRC [EP/E02761X/1]
- EPSRC [EP/E02761X/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/E02761X/1] Funding Source: researchfish
This paper formulates and solves the network reconstruction problem for linear time-invariant systems. The problem is motivated from a variety of disciplines, but it has recently received considerable attention from the systems biology community in the study of chemical reaction networks. Here, we demonstrate that even when a transfer function can be identified perfectly from input-output data, not even Boolean reconstruction is possible, in general, without more information about the system. We then completely characterize this additional information that is essential for dynamical reconstruction without appeal to ad-hoc assumptions about the network, such as sparsity or minimality.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据