Sets of generalized [InlineEquation not available: See fulltext.] exponential stability criteria for switched multilayer dynamic neural networks

Choon Ki Ahn; Young Sam Lee

doi:10.1186/1687-1847-2012-150

Sets of generalized [InlineEquation not available: See fulltext.] exponential stability criteria for switched multilayer dynamic neural networks

Choon Ki Ahn, Young Sam Lee

School of Electrical Engineering

Research output: Contribution to journal › Article

Abstract

This paper investigates new sets of generalized [InlineEquation not available: see fulltext.] exponential stability criteria for switched multilayer dynamic neural networks. These sets of sufficient stability criteria in forms of linear matrix inequality (LMI) and matrix norm are presented, under which switched multilayer dynamic neural networks reduce the effect of external input to a predefined level. The proposed sets of criteria also guarantee exponential stability for switched multilayer dynamic neural networks without external input.

Original language	English
Article number	150
Journal	Advances in Difference Equations
Volume	2012
DOIs	https://doi.org/10.1186/1687-1847-2012-150
Publication status	Published - 2012

ASJC Scopus subject areas

Analysis
Algebra and Number Theory
Applied Mathematics

Access to Document

10.1186/1687-1847-2012-150

Fingerprint Dive into the research topics of 'Sets of generalized [InlineEquation not available: See fulltext.] exponential stability criteria for switched multilayer dynamic neural networks'. Together they form a unique fingerprint.

Cite this

Ahn, C. K., & Lee, Y. S. (2012). Sets of generalized [InlineEquation not available: See fulltext.] exponential stability criteria for switched multilayer dynamic neural networks. Advances in Difference Equations, 2012, [150]. https://doi.org/10.1186/1687-1847-2012-150

@article{08d85f39af8843818ec8aecf404e89af,

title = "Sets of generalized [InlineEquation not available: See fulltext.] exponential stability criteria for switched multilayer dynamic neural networks",

abstract = "This paper investigates new sets of generalized [InlineEquation not available: see fulltext.] exponential stability criteria for switched multilayer dynamic neural networks. These sets of sufficient stability criteria in forms of linear matrix inequality (LMI) and matrix norm are presented, under which switched multilayer dynamic neural networks reduce the effect of external input to a predefined level. The proposed sets of criteria also guarantee exponential stability for switched multilayer dynamic neural networks without external input.",

author = "Ahn, {Choon Ki} and Lee, {Young Sam}",

year = "2012",

doi = "10.1186/1687-1847-2012-150",

language = "English",

volume = "2012",

journal = "Advances in Difference Equations",

issn = "1687-1839",

publisher = "Springer Publishing Company",

}

TY - JOUR

T1 - Sets of generalized [InlineEquation not available

T2 - See fulltext.] exponential stability criteria for switched multilayer dynamic neural networks

AU - Ahn, Choon Ki

AU - Lee, Young Sam

PY - 2012

Y1 - 2012

N2 - This paper investigates new sets of generalized [InlineEquation not available: see fulltext.] exponential stability criteria for switched multilayer dynamic neural networks. These sets of sufficient stability criteria in forms of linear matrix inequality (LMI) and matrix norm are presented, under which switched multilayer dynamic neural networks reduce the effect of external input to a predefined level. The proposed sets of criteria also guarantee exponential stability for switched multilayer dynamic neural networks without external input.

AB - This paper investigates new sets of generalized [InlineEquation not available: see fulltext.] exponential stability criteria for switched multilayer dynamic neural networks. These sets of sufficient stability criteria in forms of linear matrix inequality (LMI) and matrix norm are presented, under which switched multilayer dynamic neural networks reduce the effect of external input to a predefined level. The proposed sets of criteria also guarantee exponential stability for switched multilayer dynamic neural networks without external input.

UR - http://www.scopus.com/inward/record.url?scp=84873325353&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873325353&partnerID=8YFLogxK

U2 - 10.1186/1687-1847-2012-150

DO - 10.1186/1687-1847-2012-150

M3 - Article

AN - SCOPUS:84873325353

VL - 2012

JO - Advances in Difference Equations

JF - Advances in Difference Equations

SN - 1687-1839

M1 - 150

ER -