H∞ Synchronization of Semi-Markovian Jump Neural Networks with Randomly Occurring Time-Varying Delays
Joint Authors
Shen, Hao
Xing, Mengping
Wang, Zhen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-12
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Based on the Lyapunov stability theory, this paper mainly investigates the H∞ synchronization problem for semi-Markovian jump neural networks (semi-MJNNs) with randomly occurring time-varying delays (TVDs).
The continuous-time semi-MJNNs, where the transition rates are dependent on sojourn time, are introduced to make the issue under our consideration more general.
One of the main characteristics of our work is the handling of TVDs.
In addition to using the improved Jensen inequality and the reciprocal convexity lemma to deal with the integral inequality, we also employ Schur complement and the projection lemma to achieve the decoupling between the square term of TVDs.
Finally, we verify the validity and feasibility of our method by a couple of simulation examples.
American Psychological Association (APA)
Xing, Mengping& Shen, Hao& Wang, Zhen. 2018. H∞ Synchronization of Semi-Markovian Jump Neural Networks with Randomly Occurring Time-Varying Delays. Complexity،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136007
Modern Language Association (MLA)
Xing, Mengping…[et al.]. H∞ Synchronization of Semi-Markovian Jump Neural Networks with Randomly Occurring Time-Varying Delays. Complexity No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1136007
American Medical Association (AMA)
Xing, Mengping& Shen, Hao& Wang, Zhen. H∞ Synchronization of Semi-Markovian Jump Neural Networks with Randomly Occurring Time-Varying Delays. Complexity. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136007
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136007