DocumentCode :
3533070
Title :
Observability and dead-beat observers for Boolean networks modeled as polynomial discrete-time systems
Author :
Menini, Laura ; Tornambe, Antonio
Author_Institution :
Dipt. di Ing. Inf. e Ing. Civile, Univ. di Roma Tor Vergata, Rome, Italy
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
4428
Lastpage :
4433
Abstract :
Boolean networks are considered in this paper and are represented through polynomial discrete-time systems over the Galois field F2. The local and the global observability properties of a Boolean network are then expressed in terms of the polynomial ideal generated by the measured output and its repeated time-shifts (the observability ideal). It is shown that any globally observable Boolean network can be immersed into a polynomial system that is linearizable by output injection, whence a dead-beat observer can be designed in such a case. In case of globally observable Boolean networks, the left inverse of the observability mapping can always be computed in closed-form through a Gröbner basis of the observability ideal. More in general, the computation of a Gröbner basis of the observability ideal is useful also for the partial inversion of the observability mapping in case of Boolean networks that are not globally observable, as it is shown for a genetic system, the lac operon.
Keywords :
Boolean algebra; discrete time systems; observability; observers; Galois field F2; Gröbner basis; dead-beat observers; genetic system; global observability properties; globally observable Boolean network; local observability properties; observability; observability mapping; output injection; polynomial discrete-time systems; Discrete-time systems; Genetics; Observability; Observers; Polynomials; Proteins; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760571
Filename :
6760571
Link To Document :
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