期刊
NEURAL NETWORKS
卷 144, 期 -, 页码 11-20出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2021.08.004
关键词
Finite-time synchronization; Intermittent control; Fractional-order; Complex network
资金
- National Natural Science Foundation of China [61973078, 61903339]
This paper investigates the finite-time synchronization problem for fractional-order complex dynamical networks with intermittent control. A general fractional-order intermittent differential inequality is obtained and criteria for finite-time convergence are established. The theoretical results are illustrated by numerical examples.
This paper is concerned with the finite-time synchronization problem for fractional-order complex dynamical networks (FCDNs) with intermittent control. Using the definition of Caputo's fractional derivative and the properties of Beta function, the Caputo fractional-order derivative of the power function is evaluated. A general fractional-order intermittent differential inequality is obtained with fewer additional constraints. Then, the criteria are established for the finite-time convergence of FCDNs under intermittent feedback control, intermittent adaptive control and intermittent pinning control indicate that the setting time is related to order of FCDNs and initial conditions. Finally, these theoretical results are illustrated by numerical examples. (C) 2021 Published by Elsevier Ltd.
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