Finite-time synchronization of neutral type fractional-order bidirectional associative memory neural networks with delays via adaptive feedback control strategy
Year: 2024
Type: article
Abstract: This article is devoted to investigating the finite-time synchronization of neutral type fractional-order Bidirectional Associative Memory neural networks with delays via adaptive feedback control strategy. A sufficient condition which ensures the finite-time synchronization of these networks based on a state feedback control scheme is deduced using the generalized Gronwall–Bellman inequality. A new lemma with novel finite-time stability inequality is developed first. On the basis of a new Lyapunov-Krasovskii functional and new computational techniques, finite time synchronization criteria are formulated for the corresponding real-valued drive and response system models. In many practical applications, it is important to remain the states within a certain bound during a specific time-interval. Thus, the finitetime behavior of the networks is more important than the asymptotic behavior of the networks. The investigation on finite-time synchronization for fractional-order bidirectional associative memory neural networks with time delays has important theoretical value and practical significance. Three numerical examples illustrate the feasibility and the effectiveness of the deduced sufficient criteria.
Authors: J. Kumar, V. Durai Murugan, M. Hymavathi, Muhammed Syed Ali, Ganesh Kumar Thakur
Institution: Thiruvalluvar University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402375193