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
Link To Document :
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