| dc.contributor.author | Alzabut, Jehad | |
| dc.date.accessioned | 2023-02-01T07:51:48Z | |
| dc.date.available | 2023-02-01T07:51:48Z | |
| dc.date.issued | 2022-10 | |
| dc.identifier.uri | http://earsiv.ostimteknik.edu.tr:8080/xmlui/handle/123456789/284 | |
| dc.description.abstract | This paper investigates the bipartite synchronization of memristor-based fractional-order coupled delayed neural networks with structurally balanced and unbalanced concepts. The main result is established for the proposed model using pinning control, fractional-order Jensen's inequality, and the linear matrix inequality. Further, new sufficient conditions are derived using the Lyapunov-Krasovskii functional with delay-dependent criteria. Finally, numerical simulations are provided including two numerical examples to show the effectiveness of the theoretical results. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | pinning control | en_US |
| dc.subject | Caputo derivative | en_US |
| dc.subject | structurally balanced | en_US |
| dc.subject | memristor | en_US |
| dc.subject | Filippov sense | en_US |
| dc.title | Bipartite Synchronization of Fractional-Order Memristor-Based Coupled Delayed Neural Networks with Pinning Control | en_US |
| dc.type | Article | en_US |
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