Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)

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Memristor-based H∞ Synchronization Control for Fractional-order Neural Networks with Time-delays

Authors
Hui Huang, Xiaolin Yuan, Lipo Mo
Corresponding Author
Xiaolin Yuan
Available Online April 2019.
DOI
10.2991/smont-19.2019.42How to use a DOI?
Keywords
Memristor; H∞ synchronization; FONNs, time-delays
Abstract

The H∞ synchronization control of fractional-order neural networks (FONNs) is investigated in this paper, where the FONNs are affected by time-delays. First, based on memristor, a novel adaptive control is proposed. And then, by taking the Mittag-Leffler stability theory and robust control, sufficient conditions are proposed to achieve synchronization of FONNs. Finally, the correctness of the obtained theoretical results are verified by some numerical examples.

Copyright
© 2019, 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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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
Series
Advances in Intelligent Systems Research
Publication Date
April 2019
ISBN
10.2991/smont-19.2019.42
ISSN
1951-6851
DOI
10.2991/smont-19.2019.42How to use a DOI?
Copyright
© 2019, 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/).

Cite this article

risenwbib
TY  - CONF
AU  - Hui Huang
AU  - Xiaolin Yuan
AU  - Lipo Mo
PY  - 2019/04
DA  - 2019/04
TI  - Memristor-based H∞ Synchronization Control for Fractional-order Neural Networks with Time-delays
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 184
EP  - 188
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.42
DO  - 10.2991/smont-19.2019.42
ID  - Huang2019/04
ER  -