Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3523
Title: STABILITY ANALYSIS OF SINGLE NEURON SYSTEM WITH LEVY NOISE
Authors: Ganesan, Arthi
Keywords: Stochastic differential equations
Neuron system
Neutral equations
Asymptotic stability
Issue Date: Jan-2020
Publisher: INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH
Abstract: This article addresses the asymptotic stability of single neuron system with neutral delay and Levy noise. Sufficient conditions are derived to ensure that the considered system with Levy noise is asymptotic stable by means of the linear matrix inequality (LMI) approach together with a Lyapunov-Krasovskii functional and stochastic analysis theory. This work provides two examples of application of stability analysis in numerical formulation about the impact of Levy noise on neutral type single neuron model
URI: https://www.ijstr.org/final-print/jan2020/Stability-Analysis-Of-Single-Neuron-System-With-Levy-Noise.pdf
ISSN: 2277-8616
Appears in Collections:International Journals

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