期刊
FUZZY SETS AND SYSTEMS
卷 466, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.fss.2023.02.001
关键词
Finite-time synchronization; Fractional-order; Fuzzy neural network; Adaptive control; Delay
This paper investigates the adaptive finite-time synchronization problems for a class of fractional-order delayed fuzzy cellular neural networks (FODFCNNs). First, new perspective is provided to explore finite-time synchronization of fractional-order systems by establishing novel fractional-order differential inequalities with the aid of the properties of the Mittag-Leffler function and the Laplace transform with the parameter. Second, sufficient conditions are given based on these inequalities and the designed adaptive controller to guarantee the adaptive finite-time synchronization of FODFCNNs. Finally, the effectiveness of the results is demonstrated by a numerical example.
The adaptive finite-time synchronization problems are investigated for a class of fractional-order delayed fuzzy cellular neural networks (FODFCNNs). First, with the aid of the properties of the Mittag-Leffler function and the Laplace transform with the parameter, some novel fractional-order differential inequalities are established to provide new perspective to explore finite-time synchronization of fractional-order systems. Second, based on these inequalities and the designed adaptive controller, some novel sufficient conditions are given to guarantee the adaptive finite-time synchronization of FODFCNNs. Finally, the effectiveness of the results is demonstrated by a numerical example.(c) 2023 Elsevier B.V. All rights reserved.
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