A study of complete stability for delayed cellular neural networks

Wu-Hua Chen; Wei Xing Zheng

A study of complete stability for delayed cellular neural networks

Wu-Hua Chen
, Wei Xing Zheng

School of Computer, Data & Mathematical Sciences

Guangxi University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

This paper addresses the problem of complete stability analysis for cellular neural networks (CNN's) with variable delays. The M-matrix theory and new analysis techniques are utilized to establish novel delay-independent/delay- dependent sufficient conditions under which the complete stability of CNN's with variable delays can be guaranteed. The new stability criteria do not require any symmetric condition of the feedback matrix and the delayed feedback matrix, thus being much widely applicable. The developed theoretical results are further illustrated by numerical examples, including their superiority over the existing results.

Original language	English
Title of host publication	ISCAS 2006
Subtitle of host publication	2006 IEEE International Symposium on Circuits and Systems, Proceedings
Pages	3249-3252
Number of pages	4
Publication status	Published - 2006
Event	ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece Duration: 21 May 2006 → 24 May 2006

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Conference

Conference	ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
Country/Territory	Greece
City	Kos
Period	21/05/06 → 24/05/06

Cite this

@inproceedings{b01ac80d99fd4ce2abc6aa8fcac686b0,

title = "A study of complete stability for delayed cellular neural networks",

abstract = "This paper addresses the problem of complete stability analysis for cellular neural networks (CNN's) with variable delays. The M-matrix theory and new analysis techniques are utilized to establish novel delay-independent/delay- dependent sufficient conditions under which the complete stability of CNN's with variable delays can be guaranteed. The new stability criteria do not require any symmetric condition of the feedback matrix and the delayed feedback matrix, thus being much widely applicable. The developed theoretical results are further illustrated by numerical examples, including their superiority over the existing results.",

author = "Wu-Hua Chen and Zheng, \{Wei Xing\}",

year = "2006",

language = "English",

isbn = "0780393902",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

pages = "3249--3252",

booktitle = "ISCAS 2006",

note = "ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems ; Conference date: 21-05-2006 Through 24-05-2006",

}

TY - GEN

T1 - A study of complete stability for delayed cellular neural networks

AU - Chen, Wu-Hua

AU - Zheng, Wei Xing

PY - 2006

Y1 - 2006

N2 - This paper addresses the problem of complete stability analysis for cellular neural networks (CNN's) with variable delays. The M-matrix theory and new analysis techniques are utilized to establish novel delay-independent/delay- dependent sufficient conditions under which the complete stability of CNN's with variable delays can be guaranteed. The new stability criteria do not require any symmetric condition of the feedback matrix and the delayed feedback matrix, thus being much widely applicable. The developed theoretical results are further illustrated by numerical examples, including their superiority over the existing results.

AB - This paper addresses the problem of complete stability analysis for cellular neural networks (CNN's) with variable delays. The M-matrix theory and new analysis techniques are utilized to establish novel delay-independent/delay- dependent sufficient conditions under which the complete stability of CNN's with variable delays can be guaranteed. The new stability criteria do not require any symmetric condition of the feedback matrix and the delayed feedback matrix, thus being much widely applicable. The developed theoretical results are further illustrated by numerical examples, including their superiority over the existing results.

UR - https://www.scopus.com/pages/publications/34547378644

M3 - Conference Paper

AN - SCOPUS:34547378644

SN - 0780393902

SN - 9780780393905

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 3249

EP - 3252

BT - ISCAS 2006

T2 - ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems

Y2 - 21 May 2006 through 24 May 2006

ER -

A study of complete stability for delayed cellular neural networks

Abstract

Publication series

Conference

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