Fixed-Time Synchronization of Neural Networks with Discrete Delay
Joint Authors
Peng, Haipeng
Liu, Shuai
Chen, Chuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In this paper, we establish a new fixed-time stability theorem, which provides a novel fixed-time stability criterion and a novel upper bound estimate formula for the settling time.
Numerical simulations show that the upper bound estimate for the settling time in this paper is tighter than those given in the existing fixed-time stability theorems.
By designing a simple feedback controller, the fixed-time synchronization of neural networks with discrete delay is investigated based on the fixed-time stability theorem established in this paper.
A numerical example is included to validate the effectiveness of the obtained theoretical results.
American Psychological Association (APA)
Liu, Shuai& Chen, Chuan& Peng, Haipeng. 2020. Fixed-Time Synchronization of Neural Networks with Discrete Delay. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1200664
Modern Language Association (MLA)
Liu, Shuai…[et al.]. Fixed-Time Synchronization of Neural Networks with Discrete Delay. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1200664
American Medical Association (AMA)
Liu, Shuai& Chen, Chuan& Peng, Haipeng. Fixed-Time Synchronization of Neural Networks with Discrete Delay. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1200664
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200664