Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83314
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Delay-dependent stability analysis for switched neural networks with time-varying delay |
Author: | Wu, Z. Shi, P. Su, H. Chu, J. |
Citation: | IEEE Transactions on Cybernetics, 2011; 41(6):1522-1530 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2011 |
ISSN: | 1083-4419 1941-0492 |
Statement of Responsibility: | Zheng-Guang Wu, Peng Shi, Hongye Su, and Jian Chu |
Abstract: | In this paper, the problem of stability analysis is investigated for switched neural networks with time-varying delay using linear matrix inequality (LMI) approach. By taking advantage of the average dwell time method, two sufficient conditions are developed to ensure the global exponential stability of the considered neural networks, which are delay-dependent and formulated by LMIs. The state decay estimate is explicitly given. Numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed techniques. |
Rights: | © 2011 IEEE |
DOI: | 10.1109/TSMCB.2011.2157140 |
Published version: | http://dx.doi.org/10.1109/tsmcb.2011.2157140 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.