Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment
Joint Authors
Cao, Jinde
Li, Xiaodi
Lv, Xiaoxiao
Duan, Peiyong
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The problem of exponential synchronization for neural networks is investigated via feedback control in complex environment.
By constructing suitable Lyapunov-Krasovskii functionals and applying the piecewise analytic method, some sufficient criteria for exponential synchronization of the addressed neural networks are established in terms of linear matrix inequalities (LMIs).
The feedback control in complex environment includes the delayed aperiodically intermittent control and dynamic output feedback control.
Moreover, the delayed aperiodically intermittent dynamic output feedback controller is designed based on the established LMIs.
A numerical example and its numerical simulations are finally presented to show the effectiveness of obtained theoretical results.
American Psychological Association (APA)
Lv, Xiaoxiao& Li, Xiaodi& Cao, Jinde& Duan, Peiyong. 2018. Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment. Complexity،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1134101
Modern Language Association (MLA)
Lv, Xiaoxiao…[et al.]. Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment. Complexity No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1134101
American Medical Association (AMA)
Lv, Xiaoxiao& Li, Xiaodi& Cao, Jinde& Duan, Peiyong. Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment. Complexity. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1134101
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134101