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Accession number:
20161002079269
Title:
Improved stability criteria for neural networks with additive time-varying delay components
Authors:
Jiao, Jianmin1
Author affiliation:
1College of Mathematics and Information Science, Baoji University of Arts and Sciences, Baoji, China
Corresponding author:
Jiao, Jianmin (jmjiao@126.com)
Source title:
International Journal of Control and Automation
Abbreviated source title:
Int. J. Control Autom.
Volume:
8
Issue:
9
Issue date:
2015
Publication year:
2015
Pages:
353-364
Language:
English
ISSN:
20054297
Document type:
Journal article (JA)
Publisher:
Science and Engineering Research Support Society
Abstract:
This paper investigated the problem of improved delay-dependent stability criteria for neural networks with two additive time-varying delay components. By constructing a more general type of Lyapunov functional and using effective mathematical technique to estimate the upper bound on the time derivative of the Lyapunov functional, some new delay-dependent stability criteria are derived in terms of linear matrix inequalities. The resulting stability criteria are of fewer matrix variables and less conservative than some existing ones. Numerical examples are given to illustrate the effectiveness and less conservativeness of the proposed method. © 2015 SERSC.
Number of references:
36
Main heading:
Stability criteria
Controlled terms:
Convergence of numerical methods - Linear matrix inequalities - Lyapunov functions - Matrix algebra - Neural networks - Numerical methods - Robustness (control systems) - Stability - Time delay - Time varying control systems - Time varying networks
Uncontrolled terms:
Delay dependent stability criterion - Lyapunov functionals - Time derivative - Time varying- delays - Upper Bound
Classification code:
703.1 Electric Networks - 713 Electronic Circuits - 731.1 Control Systems - 921 Mathematics - 961 Systems Science
DOI:
10.14257/ijca.2015.8.9.34
Database:
Compendex
Compilation and indexing terms, © 2016 Elsevier Inc |
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