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Dynamical structure function identifiability conditions enabling signal structure reconstruction
Adebayo, J.; Southwick, T.; Chetty, V. et al.
2012In The proceedings of the 51st IEEE Conference on Decision and Control (CDC)
Peer reviewed
 

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Abstract :
[en] Networks of controlled dynamical systems exhibit a variety of interconnection patterns that could be interpreted as the structure of the system. One such interpretation of system structure is a system's signal structure, characterized as the open-loop causal dependencies among manifest variables and represented by its dynamical structure function. Although this notion of structure is among the weakest available, previous work has shown that if no a priori structural information is known about the system, not even the Boolean structure of the dynamical structure function is identifiable. Consequently, one method previously suggested for obtaining the necessary a priori structural information is to leverage knowledge about target specificity of the controlled inputs. This work extends these results to demonstrate precisely the a priori structural information that is both necessary and sufficient to reconstruct the network from input-output data. This extension is important because it significantly broadens the applicability of the identifiability conditions, enabling the design of network reconstruction experiments that were previously impossible due to practical constraints on the types of actuation mechanisms available to the engineer or scientist. The work is motivated by the proteomics problem of reconstructing the Per-Arnt-Sim Kinase pathway used in the metabolism of sugars.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Adebayo, J.
Southwick, T.
Chetty, V.
Yeung, E.
Yuan, Y.
Goncalves, Jorge ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Grose, J.
Prince, J.
Stan, G. B.
Warnick, S.
Language :
English
Title :
Dynamical structure function identifiability conditions enabling signal structure reconstruction
Publication date :
December 2012
Event name :
51st IEEE Conference on Decision and Control (CDC)
Event place :
Maui, United States - Hawaii
Event date :
10-13 December 2012
Main work title :
The proceedings of the 51st IEEE Conference on Decision and Control (CDC)
Publisher :
IEEE
ISBN/EAN :
978-1-4673-2064-1
Pages :
4635-4641
Peer reviewed :
Peer reviewed
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since 11 March 2015

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