Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper is concerned with the stability problem of a class of discrete-time stochastic fuzzy neural networks with mixed delays.
New Lyapunov-Krasovskii functions are proposed and free weight matrices are introduced.
The novel sufficient conditions for the stability of discrete-time stochastic fuzzy neural networks with mixed delays are established in terms of linear matrix inequalities (LMIs).
Finally, numerical examples are given to illustrate the effectiveness and benefits of the proposed method.
American Psychological Association (APA)
Li, Yajun& Zhu, Quanxin. 2019. Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1197710
Modern Language Association (MLA)
Li, Yajun& Zhu, Quanxin. Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays. Mathematical Problems in Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1197710
American Medical Association (AMA)
Li, Yajun& Zhu, Quanxin. Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1197710
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197710
