DocumentCode
592375
Title
Finding invariant sets for biological systems using monomial domination
Author
August, E. ; Craciun, G. ; Koeppl, Heinz
Author_Institution
Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
3001
Lastpage
3006
Abstract
In this paper we present a novel approach to the analysis of nonnegative dynamical systems whose vector fields are polynomial or rational functions. Our analysis framework is based on results developed and presented in a previous study on general conditions that imply non-vanishing of polynomial functions on the positive orthant. This approach is due to the sparsity of the negative terms in the polynomial, which are then “dominated” by the positive terms. Particularly, we present a novel approach to find invariant sets of a dynamical system and one to aid the search for the number of possible equilibria of the system. To illustrate this approach we apply it to a model of a food web to check for overpopulation or extinction of species.
Keywords
biology; polynomials; set theory; vectors; analysis framework; biological systems; food web; invariant sets; monomial domination; nonnegative dynamical systems; polynomial functions; positive terms; rational functions; system equilibria; vector fields; Biological system modeling; Lyapunov methods; Polynomials; Sociology; Statistics; Trajectory; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426491
Filename
6426491
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