Global Mittag-Leffler Stability of Fractional Hopfield Neural Networks with δ-Inverse Hölder Neuron Activations
- Authors: Xiaohong Wang 1, Huaiqin Wu 1
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Affiliations:
- School of Science, Yanshan University
- Issue: Vol 28, No 4 (2019)
- Pages: 239-251
- Section: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/195235
- DOI: https://doi.org/10.3103/S1060992X19040064
- ID: 195235
Cite item
Abstract
In this paper, the global Mittag-Leffler stability of fractional Hopfield neural networks (FHNNs) with \(\delta \)-inverse hölder neuron activation functions are considered. By applying the Brouwer topological degree theory and inequality analysis techniques, the proof of the existence and uniqueness of equilibrium point is addressed. By constructing the Lure’s Postnikov-type Lyapunov functions, the global Mittag-Leffler stability conditions are achieved in terms of linear matrix inequalities (LMIs). Finally, three numerical examples are given to verify the validity of the theoretical results.
About the authors
Xiaohong Wang
School of Science, Yanshan University
Author for correspondence.
Email: xiaohongwangmiao@163.com
China, Qinhuangdao, 066001
Huaiqin Wu
School of Science, Yanshan University
Author for correspondence.
Email: huaiqinwu@ysu.edu.cn
China, Qinhuangdao, 066001
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