Journal
NEURAL NETWORKS
Volume 110, Issue -, Pages 186-198Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2018.12.004
Keywords
Memristor complex-valued neural networks; Comparison principle; Multiple time delays; Fractional order; Parameter uncertainties
Funding
- National Natural Science Foundation of China [11571016]
- Natural Science Foundation of Anhui Province, China [1608085MA14]
- Natural Science Foundation of the Higher Education Institutions of Anhui Province, China [KJ2018A0365]
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This paper considers the global asymptotical synchronization of fractional-order memristive complex-valued neural networks (FOMCVNN), with both parameter uncertainties and multiple time delays. Sufficient conditions of uncertain FOMCVNN, with multiple time delays, are established through the employment of comparison principle and Lyapunov direct method. A numerical example is used to show the effectiveness of the proposed methods. (C) 2018 Elsevier Ltd. All rights reserved.
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