Centralized Data-Sampling Approach for Global Ot-α Synchronization of Fractional-Order Neural Networks with Time Delays
Author
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this paper, the global O(t-α) synchronization problem is investigated for a class of fractional-order neural networks with time delays.
Taking into account both better control performance and energy saving, we make the first attempt to introduce centralized data-sampling approach to characterize the O(t-α) synchronization design strategy.
A sufficient criterion is given under which the drive-response-based coupled neural networks can achieve global O(t-α) synchronization.
It is worth noting that, by using centralized data-sampling principle, fractional-order Lyapunov-like technique, and fractional-order Leibniz rule, the designed controller performs very well.
Two numerical examples are presented to illustrate the efficiency of the proposed centralized data-sampling scheme.
American Psychological Association (APA)
Jin-E, Zhang. 2017. Centralized Data-Sampling Approach for Global Ot-α Synchronization of Fractional-Order Neural Networks with Time Delays. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1151617
Modern Language Association (MLA)
Jin-E, Zhang. Centralized Data-Sampling Approach for Global Ot-α Synchronization of Fractional-Order Neural Networks with Time Delays. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1151617
American Medical Association (AMA)
Jin-E, Zhang. Centralized Data-Sampling Approach for Global Ot-α Synchronization of Fractional-Order Neural Networks with Time Delays. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1151617
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151617