Mittag-Leffler Synchronization in Finite Time for Uncertain Fractional-Order Multi-Delayed Memristive Neural Networks with Time-Varying Perturbations via Information Feedback

To construct a nonlinear fractional-order neural network reflecting the complex environment of the real world, this paper considers the common factors such as uncertainties, perturbations, and delays that affect the stability of the network system. In particular, not only does the activation functio...

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Hauptverfasser:	Hongguang Fan, Xijie Chen, Kaibo Shi, Yaohua Liang, Yang Wang, Hui Wen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-07-01
Schriftenreihe:	Fractal and Fractional
Schlagworte:	neural networks control schemes sign function finite-time synchronization fractional order
Online-Zugang:	https://www.mdpi.com/2504-3110/8/7/422
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