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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Published in | Complexity (New York, N.Y.) Vol. 21; no. S1; pp. 211 - 219 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Hindawi Limited
01.09.2016
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Subjects | |
Online Access | Get full text |
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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 |
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ISSN: | 1076-2787 1099-0526 |
DOI: | 10.1002/cplx.21733 |