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https://hdl.handle.net/2440/83501
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Type: | Journal article |
Title: | Delay-dependent exponential stability analysis for discrete-time switched neural networks with time-varying delay |
Author: | Wu, Z. Shi, P. Su, H. Chu, J. |
Citation: | Neurocomputing, 2011; 74(10):1626-1631 |
Publisher: | Elsevier Science BV |
Issue Date: | 2011 |
ISSN: | 0925-2312 1872-8286 |
Statement of Responsibility: | Zheng-Guang Wu, Peng Shi, Hongye Su, Jian Chu |
Abstract: | In this paper, we focus on the stability problem for discrete-time switched neural networks with time-varying delay resorting to the average dwell time method. In terms of linear matrix inequality approach, a delay-dependent sufficient condition of exponential stability is developed for a kind of switching signal with average dwell time. A numerical example is given to show the validness of the established result. |
Keywords: | Switched neural networks Time-varying delays Exponential stability Average dwell time Linear matrix inequality (LMI) |
Rights: | © 2011 Elsevier B.V. All rights reserved. |
DOI: | 10.1016/j.neucom.2011.01.015 |
Published version: | http://dx.doi.org/10.1016/j.neucom.2011.01.015 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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