Dynamics of High-order Fuzzy Cellular Neural Networks with Time-varying Delays

DOI

10.1080/18756891.2015.1017368How to use a DOI?

Keywords

High-order neural networks, Equilibrium point, Boundedness, Time-varying delays, Exponential stability

Abstract

In this paper, dynamic behavior of a class of high-order fuzzy cellular neural networks (HFCNNs) with time-varying delays is investigated. Compared with the previous results in the literature, the restrictions are loosed, since we do not assume the boundedness and monotonicity on the activation functions, and the differentiability of time-varying delay functions. Some sufficient conditions are derived for ascertaining the existence, uniqueness and exponential stability of equilibrium point and uniform boundedness of solutions of the HFCNNs. Finally, two examples are given to show the effectiveness of the proposed criteria, which complement some previously known 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  - JOUR
AU  - Manchun Tan
AU  - Shuping Xu
AU  - Zhong Li
PY  - 2015
DA  - 2015/04/01
TI  - Dynamics of High-order Fuzzy Cellular Neural Networks with Time-varying Delays
JO  - International Journal of Computational Intelligence Systems
SP  - 381
EP  - 394
VL  - 8
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1017368
DO  - 10.1080/18756891.2015.1017368
ID  - Tan2015
ER  -