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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 231
EP  - 239
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.47
DO  - 10.2991/ammee-17.2017.47
ID  - Zhang2017/06
ER  -