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Synchronizations control of fractional-order multidimension-valued memristive neural networks with delays.

Authors :
Mao, Xinyu
Wang, Xiaomei
Lu, Yuxi
Qin, Hongying
Source :
Neurocomputing. Jan2024, Vol. 563, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

In this paper, systems of the fractional-order multidimension-valued memristive neural networks (FMVMNNs) with leakage delay and time-varying delays are studied in continuous-time and discrete-time cases. Comparative studies on synchronizations control between discrete-time FMVMNNs and the continuous-time system are investigated directly rather than through the decomposition method. By employing Lyapunov theory and fractional derivative inequalities, sufficient criteria about the quasi-synchronization and global ultimate Mittag-Leffler lag quasi-synchronization are obtained in multidimension-valued linear matrix inequality form, while succinct conclusions of asymptotical synchronization and global Mittag-Leffler synchronization are derived in vector form. The obtained criteria have many advantages in a less computation, lower conservatism, more generality and higher flexibility. Finally, four examples are given to demonstrate the effectiveness and availability of the derived conclusions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
563
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
173458844
Full Text :
https://doi.org/10.1016/j.neucom.2023.126942