Title :
Immersion and darboux polynomials of boolean networks with application to the pseudomonas syringae hrp regulon
Author :
Menini, Laura ; Tornambe, Antonio
Author_Institution :
Dipt. di Ing. Inf. e Ing. Civile, Univ. di Roma “Tor Vergata”, Rome, Italy
Abstract :
Boolean networks are treated in this paper as discrete-time polynomial systems over the Galois field F2. It is shown that a previous result, valid for standard polynomial nonlinear systems, and allowing to compute the Darboux polynomials of the system, holds for polynomial systems over F2 in a reinforced manner. Moreover, it is shown that, by using a state immersion, polynomial systems over F2 can be always linearized. The state immersion technique can be used also for other purposes, such as to compute the solution in closed form and to compute some of the Darboux polynomials.
Keywords :
Boolean functions; Galois fields; discrete time systems; microorganisms; polynomials; Boolean networks; Darboux polynomials; Galois field; Pseudomonas syringae hrp regulon; discrete-time polynomial systems; immersion polynomials; standard polynomial nonlinear systems; state immersion technique; Artificial intelligence; Artificial neural networks; Interpolation; Nonlinear systems; Polynomials; Proteins; Vectors;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760516