Publication Type : Journal Article
Publisher : MDPI AG
Source : Mathematics
Url : https://doi.org/10.3390/math10193699
Campus : Coimbatore
School : School of Physical Sciences
Department : Mathematics
Year : 2022
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.
Cite this Research Publication : P. Babu Dhivakaran, A. Vinodkumar, S. Vijay, S. Lakshmanan, J. Alzabut, R. A. El-Nabulsi, W. Anukool, Bipartite Synchronization of Fractional-Order Memristor-Based Coupled Delayed Neural Networks with Pinning Control, Mathematics, MDPI AG, 2022, https://doi.org/10.3390/math10193699
