Abstract
In this paper, the problem of finite-time stability for a class of fractional-order Cohen–Grossberg BAM neural networks with time delays is investigated. Using some inequality techniques, differential mean value theorem and contraction mapping principle, sufficient conditions are presented to ensure the finite-time stability of such fractional-order neural models. Finally, a numerical example and simulations are provided to demonstrate the effectiveness of the derived theoretical results.
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Acknowledgements
The support of the UAE University, through UPAR and center-based research projects, to execute this work is highly acknowledged and appreciated. The authors would like to thank the editor and reviewers for their constructive comments and suggestions which improved the manuscript.
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Rajivganthi, C., Rihan, F.A., Lakshmanan, S. et al. Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays. Neural Comput & Applic 29, 1309–1320 (2018). https://doi.org/10.1007/s00521-016-2641-9
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DOI: https://doi.org/10.1007/s00521-016-2641-9