DocumentCode
434765
Title
Non-vanishing basin of attraction with respect to a parametric variation and center manifold
Author
Shim, H. ; Chang, H.J. ; Seo, J.H.
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea
Volume
3
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
2984
Abstract
When the origin of a nonlinear system having a parameter is locally asymptotically stable, the size of its basin of attraction may also depend on the parameter. If the parameter variation is confined within a compact interval and if the origin is locally exponentially stable for each parameter, then it is well-known that the radius of basin of attraction does not shrink to zero under the variation of parameter. We relax this condition up to the case where the origin loses exponential stability for a certain parameter. This is done by focusing on the behavior of the system on a parametrized center manifold. In addition, by introducing the concept of stability with respect to a positively invariant subset of the state-space, the proposed analysis is applicable to the case where the system experiences bifurcation of splitting or merging equilibria, which often appears in biological systems. The stability property considered here is called for with the boundary layer system in the singular perturbation context, or with the system having slowly varying inputs. The main results establish that the non-vanishing basin of attraction (relative to a positively invariant set) is guaranteed by confirming the similar property just for the reduced order system on a parametrized center manifold.
Keywords
bifurcation; eigenvalues and eigenfunctions; nonlinear systems; stability; center manifold; nonlinear system; nonvanishing basin of attraction; origin loses exponential stability; parametric variation; positively invariant subset; reduced order system; Asymptotic stability; Bifurcation; Biological systems; Computer science; Manifolds; Merging; Nonlinear systems; Reduced order systems; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1428921
Filename
1428921
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