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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
2Â¥2016-03-28 21:17:07
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Ðľ²_ÒÀÈ»: LS-EPI+1, ¸ÐлӦÖú 2016-03-28 21:32:00
Ðľ²_ÒÀÈ»: LS-EPI+1, ¸ÐлӦÖú 2016-03-28 21:32:07
Ðľ²_ÒÀÈ»: LS-EPI-1, ²Ù×÷ʧÎó~²»ºÃÒâ˼ 2016-03-28 22:12:08
Accession number:


20161002079269
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