Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Existence and Stability of Anti-Periodic Solutions for Fuzzy Cohen- Grossberg Neural Networks with Time-varying Delays on Time Scales

Authors
Qianhong Zhang, Guiying Wang, Xiaoying Zhong
Corresponding Author
Qianhong Zhang
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.47How to use a DOI?
Keywords
anti-periodic solutions, fuzzy Cohen-Grossberge neural networks, time-varying delays, asymptotic stability, time scales.
Abstract
By applying the novel method, some sufficient conditions are established for the existence and global exponential stability of anti-periodic solutions for a kind of fuzzy Cohen-Grossberg neural networks on time scales. Moreover an example is given to illustrate our results.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/ammee-17.2017.47How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qianhong Zhang
AU  - Guiying Wang
AU  - Xiaoying Zhong
PY  - 2017/06
DA  - 2017/06
TI  - Existence and Stability of Anti-Periodic Solutions for Fuzzy Cohen- Grossberg Neural Networks with Time-varying Delays on Time Scales
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.47
DO  - https://doi.org/10.2991/ammee-17.2017.47
ID  - Zhang2017/06
ER  -