Details

Autor(en) / Beteiligte

• Shafiya, M.
• Nagamani, G.

Titel

Synchronization of Delayed Fractional-Order Memristive BAM Neural Networks

Ist Teil von

• Mathematical Modelling and Computational Intelligence Techniques, p.215-231

Ort / Verlag

Singapore: Springer Nature Singapore

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In this paper, the global Mittag-Leffler synchronization problem for a class of fractional-order memristive bi-directional associative memory (FOMBAM) neural networks (NNs) with time-varying delays has been investigated. The motive of this study is to establish an efficient slave system for the considered master system by proving that the neuron states of the synchronization error signal is globally Mittag-Leffler stable. By utilizing the master–slave synchronization technique and Lyapunov approach, the desired global Mittag-Leffler synchronization criteria for the addressed FOMBAM NNs are derived in the form of linear matrix inequalities (LMIs). Finally, one numerical example is also presented to illustrate the feasibility of the proposed theoretical results.