Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Zhang, Qimin | Yang, Hongfu* | Xin, Zhixian
Affiliations: School of Mathematics and Information Science, North University for Nationalities, Yinchuan, Ningxia, China
Correspondence: [*] Corresponding author: Hongfu Yang, School of Mathematics and Information Science, North University for Nationalities, Yinchuan 750021, Ningxia, China. E-mail:[email protected]
Abstract: In this paper, a class of stochastic fractional-order fuzzy cellular neural networks with delays are studied. The main objective of this paper is to establish a new set of sufficient conditions, which is for the uniform stability in mean square of such stochastic fractional-order fuzzy cellular neural networks with delays. In particular, the existence and uniqueness of solutions and stability in mean square for a class of stochastic fractional-order fuzzy cellular neural networks with delays are studied by using Banach fixed point principle and stochastic analysis theory, respectively. We have improved and exteded some previous works to some extent, which are easy to check in practice. One example is given to illustrate the effectiveness of the obtained theory.
Keywords: Stochastic, fractional-order, fuzzy cellular neural networks, uniform stability, delay
DOI: 10.3233/KES-160336
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 21, no. 1, pp. 1-14, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]