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 › peer-review

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

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10.1186/1687-1847-2012-150

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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.",

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

Abstract

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