Global Robust Exponential Synchronization of Multiple Uncertain Neural Networks Subject to Event-Triggered Strategy
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-03
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper proposes the event-triggered strategy (ETS) for multiple neural networks (NNs) with parameter uncertainty and time delay.
By establishing event-triggered mechanism and using matrix inequality techniques, several sufficient criteria are obtained to ensure global robust exponential synchronization of coupling NNs.
In particular, the coupling matrix need not be the Laplace matrix in this paper.
In addition, the lower bounds of sampling time intervals are also found by the established event-triggered mechanism.
Eventually, three numerical examples are offered to illustrate the obtained results.
American Psychological Association (APA)
Jin-E, Zhang& Liu, Huan. 2019. Global Robust Exponential Synchronization of Multiple Uncertain Neural Networks Subject to Event-Triggered Strategy. Complexity،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1132749
Modern Language Association (MLA)
Jin-E, Zhang& Liu, Huan. Global Robust Exponential Synchronization of Multiple Uncertain Neural Networks Subject to Event-Triggered Strategy. Complexity No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1132749
American Medical Association (AMA)
Jin-E, Zhang& Liu, Huan. Global Robust Exponential Synchronization of Multiple Uncertain Neural Networks Subject to Event-Triggered Strategy. Complexity. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1132749
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132749