Synchronization of Markov Switching Inertial Neural Networks with Mixed Delays under Aperiodically On-Off Adaptive Control

Autor:	Beibei Guo, Yu Xiao
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	inertial neural networks Markov switching graph theory aperiodically on–off adaptive control exponential synchronization Mathematics QA1-939
Zdroj:	Mathematics, Vol 11, Iss 13, p 2906 (2023)
Druh dokumentu:	article
ISSN:	11132906 2227-7390
DOI:	10.3390/math11132906
Popis:	In this paper, the issue of exponential synchronization in Markov switching inertial neural networks with mixed delays is investigated via aperiodically on–off adaptive control. The inertial term is considered, which extends the existing network modes with first-order differential term. Combined with the Lyapunov method, graph theory, and the differential inequalities technique, two types of synchronization criteria are presented which take into account all of the time delay information and reduce the conservativeness. Finally, some numerical simulations are provided in order to show the validity of the theoretical results.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ab61540392b84d6abde1c7342cbd4d0b Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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