STABILITY ANALYSIS OF SINGLE NEURON SYSTEM WITH LEVY NOISE

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DC Field	Value	Language
dc.contributor.author	Ganesan, Arthi	-
dc.date.accessioned	2023-09-08T08:00:27Z	-
dc.date.available	2023-09-08T08:00:27Z	-
dc.date.issued	2020-01	-
dc.identifier.issn	2277-8616	-
dc.identifier.uri	https://www.ijstr.org/final-print/jan2020/Stability-Analysis-Of-Single-Neuron-System-With-Levy-Noise.pdf	-
dc.description.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	en_US
dc.language.iso	en_US	en_US
dc.publisher	INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH	en_US
dc.subject	Stochastic differential equations	en_US
dc.subject	Neuron system	en_US
dc.subject	Neutral equations	en_US
dc.subject	Asymptotic stability	en_US
dc.title	STABILITY ANALYSIS OF SINGLE NEURON SYSTEM WITH LEVY NOISE	en_US
dc.type	Article	en_US
Appears in Collections:	International Journals

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