DocumentCode
2036000
Title
Connection profile robustness in a heterogeneous network of piecewise affine FitzHugh-Nagumo models
Author
Kashima, Kenji ; Papachristodoulou, Antonis ; Allgower, F.
Author_Institution
Grad. Sch. of Inf. Sci. & Eng., Tokyo Inst. of Technol., Tokyo, Japan
fYear
2011
fDate
13-18 Sept. 2011
Firstpage
2093
Lastpage
2098
Abstract
FitzHugh-Nagumo is one of the best known nonlinear neuronal models in mathematical physiology. In particular, spatio-temporal forms of this model have been used for modeling oscillatory behavior in living organisms such as the behavior of cardiac pacemaker cells. In this paper, we investigate the stability of their spatially discretized form, that is, diffusively coupled large-scale networks of piecewisely affine approximated FitzHugh-Nagumo models. Scalable criteria for ultimate boundedness are given taking connection profile (coupling strength, delay length, subsystem heterogeneity) robustness into account. This result is accomplished through a linear multi-agent system perspective for a class of piecewise affine systems.
Keywords
affine transforms; mathematical analysis; multi-agent systems; neural nets; physiological models; cardiac pacemaker cells; connection profile robustness; diffusively coupled large scale networks; heterogeneous network; linear multiagent system; living organisms; mathematical physiology; nonlinear neuronal models; oscillatory behavior modeling; piecewise affine FitzHugh-Nagumo models; ultimate boundedness; Couplings; Delay; Mathematical model; Numerical stability; Pacemakers; Robustness; Stability criteria; FitzHugh-Nagumo model; Large-scale systems; Mathematical physiology; Piecewise affine systems; Time-delays; Ultimate bounded-ness;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location
Tokyo
ISSN
pending
Print_ISBN
978-1-4577-0714-8
Type
conf
Filename
6060317
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