Matrix Measure Approach for Stability and Synchronization of Complex-Valued Neural Networks with Deviating Argument
Joint Authors
Zhou, Wenbo
Li, Biwen
Zhang, Jin-E
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-16
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper concentrates on global exponential stability and synchronization for complex-valued neural networks (CVNNs) with deviating argument by matrix measure approach.
The Lyapunov function is no longer required, and some sufficient conditions are firstly obtained to ascertain the addressed system to be exponentially stable under different activation functions.
Moreover, after designing a suitable controller, the synchronization of two complex-valued coupled neural networks is realized, and the derived condition is easy to be confirmed.
Finally, some numerical examples are given to demonstrate the superiority and feasibility of the presented theoretical analysis and results.
American Psychological Association (APA)
Zhou, Wenbo& Li, Biwen& Zhang, Jin-E. 2020. Matrix Measure Approach for Stability and Synchronization of Complex-Valued Neural Networks with Deviating Argument. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1201810
Modern Language Association (MLA)
Zhou, Wenbo…[et al.]. Matrix Measure Approach for Stability and Synchronization of Complex-Valued Neural Networks with Deviating Argument. Mathematical Problems in Engineering No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1201810
American Medical Association (AMA)
Zhou, Wenbo& Li, Biwen& Zhang, Jin-E. Matrix Measure Approach for Stability and Synchronization of Complex-Valued Neural Networks with Deviating Argument. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1201810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201810