nuv4bDJjl510Fvw3isOFRFQ3eBFGPuV6RuWrs0ng41arVg8aBEhoIhow1nC5

Bachelor's Degree

大连理工大学

Personal Information

Gender:Female
E-Mail:

VIEW MORE
Home > Scientific Research > Paper Publications

Delay-dependent stability criterion for delayed Hopfield neural networks

Release Time:2019-03-09 Hits:

Indexed by: Journal Article
Date of Publication: 2009-03-15
Journal: CHAOS SOLITONS & FRACTALS
Included Journals: Scopus、EI、SCIE
Volume: 39
Issue: 5
Page Number: 2133-2137
ISSN: 0960-0779
Abstract: In this paper, a new Lyapunov-Krasovskii functional is constructed for delayed Hopfield neural networks, and several free-weighting matrices and S-procedure are employed to derive the delay-dependent stability criterion. The derived criterion is formulated in terms of linear matrix inequality (LMI). A numerical example is given to demonstrate the effectiveness and less conservativeness of the presented criterion. (C) 2007 Elsevier Ltd. All rights reserved.