4.7 Article

Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses

Journal

NEURAL NETWORKS
Volume 103, Issue -, Pages 128-141

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2018.03.012

Keywords

Generalized Mittag-Leffler synchronization; Discontinuous neural networks; Filippov solutions; Delayed feedback controller; Parameter uncertainties

Funding

  1. Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]

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Fractional order system is playing an increasingly important role in terms of both theory and applications. In this paper we investigate the global existence of Filippov solutions and the robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses. By means of growth conditions, differential inclusions and generalized Gronwall inequality, a sufficient condition for the existence of Filippov solution is obtained. Then, sufficient criteria are given for the robust generalized Mittag-Leffler synchronization between discontinuous activation function of impulsive fractional order neural network systems with (or without) parameter uncertainties, via a delayed feedback controller and M-Matrix theory. Finally, four numerical simulations demonstrate the effectiveness of our main results. (C) 2018 Elsevier Ltd. All rights reserved.

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