Finite‐Time lag synchronization of delayed neural networks via periodically intermittent control

The problem of finite‐time lag synchronization of delayed neural networks via periodically intermittent control is studied. In two sections, based on the same finite‐time stability theory and using the same sliding mode control, by designing a periodically intermittent feedback controller and adjust...

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Bibliographic Details
Published inComplexity (New York, N.Y.) Vol. 21; no. S1; pp. 211 - 219
Main Authors Jing, Taiyan, Chen, Fangqi
Format Journal Article
LanguageEnglish
Published Hoboken Hindawi Limited 01.09.2016
Subjects
complex network
control strengths
Feedback control systems
finite‐time lag synchronization
Neural networks
periodically intermittent control
sliding surface
updated laws
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Summary:The problem of finite‐time lag synchronization of delayed neural networks via periodically intermittent control is studied. In two sections, based on the same finite‐time stability theory and using the same sliding mode control, by designing a periodically intermittent feedback controller and adjusting periodically intermittent control strengths with the updated laws, we achieve the finite‐time lag synchronization between two time delayed networks. In addition, we ensure that the trajectory of the error system converges to a chosen sliding surface within finite time and keeps it on forever. Finally, two examples are presented to verify the effectiveness of the analytical results obtained here. © 2015 Wiley Periodicals, Inc. Complexity 21: 211–219, 2016
ISSN:1076-2787
1099-0526
DOI:10.1002/cplx.21733