Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Robust stability analysis for BAM neural networks of neutral type with time-varying delays and linear fractional uncertainties

Authors
Yunxi Zhang, Jia Liu, Yongxin Li
Corresponding Author
Yunxi Zhang
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.86How to use a DOI?
Keywords
Bidirectional associative memory neural networks; Robust stability; Time-varying delays; Linear fractional form; Lyapunov-Krasovskii functional
Abstract
This paper investigates the problem of robust stability for bidirectional associative memory (BAM) neural networks of neutral type with time-varying delays and linear fractional uncertainties. By employing integral equality and constructing a new Lyapunov-Krasovskii functional, a sufficient criterion is proposed on robust asymptotic stability for a given BAM neural networks with linear fractional uncertainties. The parameters uncertainties are expressed in a linear fractional form, which includes the norm bounded uncertainties as a special case. Numerical examples are provided to illustrate the effectiveness and less conservatism of the main result.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
DOI
https://doi.org/10.2991/icmmcce-15.2015.86How 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  - Yunxi Zhang
AU  - Jia Liu
AU  - Yongxin Li
PY  - 2015/12
DA  - 2015/12
TI  - Robust stability analysis for BAM neural networks of neutral type with time-varying delays and linear fractional uncertainties
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icmmcce-15.2015.86
DO  - https://doi.org/10.2991/icmmcce-15.2015.86
ID  - Zhang2015/12
ER  -