Circuit design and exponential stabilization of memristive neural networks.
Published
Journal Article
This paper addresses the problem of circuit design and global exponential stabilization of memristive neural networks with time-varying delays and general activation functions. Based on the Lyapunov-Krasovskii functional method and free weighting matrix technique, a delay-dependent criteria for the global exponential stability and stabilization of memristive neural networks are derived in form of linear matrix inequalities (LMIs). Two numerical examples are elaborated to illustrate the characteristics of the results. It is noteworthy that the traditional assumptions on the boundness of the derivative of the time-varying delays are removed.
Full Text
Duke Authors
Cited Authors
- Wen, S; Huang, T; Zeng, Z; Chen, Y; Li, P
Published Date
- March 2015
Published In
Volume / Issue
- 63 /
Start / End Page
- 48 - 56
PubMed ID
- 25481670
Pubmed Central ID
- 25481670
Electronic International Standard Serial Number (EISSN)
- 1879-2782
International Standard Serial Number (ISSN)
- 0893-6080
Digital Object Identifier (DOI)
- 10.1016/j.neunet.2014.10.011
Language
- eng