Title
Necessary and Sufficient Conditions for Dynamical Structure Reconstruction of LTI Networks
Abstract
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.
Year
DOI
Venue
2008
10.1109/TAC.2008.928114
Automatic Control, IEEE Transactions
Keywords
Field
DocType
Boolean algebra,linear systems,time-varying systems,transfer functions,Boolean reconstruction,LTI networks,chemical reaction networks,dynamical structure reconstruction,linear time-invariant systems,network reconstruction problem,systems biology community,transfer function,Network reconstruction,networked systems,systems biology
Information system,LTI system theory,Mathematical optimization,Linear system,Control theory,Sparse approximation,Input/output,Transfer function,Boolean algebra,Mathematics
Journal
Volume
Issue
ISSN
53
7
0018-9286
Citations 
PageRank 
References 
50
4.01
4
Authors
2
Name
Order
Citations
PageRank
Gonçalves, J.1504.01
Sean Warnick219825.76