Quasi-Synchronization and Dissipativity Analysis for Fractional-Order Neural Networks with Time Delay

Autor:	Yu Liu, Chao Zhang, Meixuan Li
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	fractional-order neural networks quasi-synchronization dissipativity linear feedback control Thermodynamics QC310.15-319 Mathematics QA1-939 Analysis QA299.6-433
Zdroj:	Fractal and Fractional, Vol 7, Iss 5, p 364 (2023)
Druh dokumentu:	article
ISSN:	2504-3110
DOI:	10.3390/fractalfract7050364
Popis:	The objective of this research is to examine the global dissipativity and quasi-synchronization of fractional-order neural networks (FNNs). A global dissipativity criterion is established through the creation of an appropriate Lyapunov function, together with some fractional-order inequality techniques. Additionally, the issue of quasi-synchronization for drive-response FNNs is investigated using linear state feedback control. The study reveals the synchronization error converges to a bounded region by choosing an appropriate control parameter. Finally, the effectiveness of the obtained works are validated through three numerical examples.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b76559a710bc483d8daaa40c034bc3ba Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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