Quasi-Synchronization and Complete Synchronization of Fractional-Order Fuzzy BAM Neural Networks Via Nonlinear Control

This paper investigates quasi-synchronization (QS) and complete synchronization(CS) for fractional-order fuzzy bidirectional associative memory neural networks. To realize QS and CS, two kinds of novel nonlinear controllers are designed, which are more general and effective compared to the existing...

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Bibliographic Details
Published inNeural processing letters Vol. 54; no. 4; pp. 3303 - 3319
Main Authors Yang, Juanping, Li, Hong-Li, Yang, Jikai, Zhang, Long, Jiang, Haijun
Format Journal Article
LanguageEnglish
Published New York Springer US 01.08.2022
Springer Nature B.V
Subjects
Artificial Intelligence
Artificial neural networks
Associative memory
Calculus
Complex Systems
Computational Intelligence
Computer Science
Fuzzy logic
Liapunov functions
Neural networks
Nonlinear control
Recurrent neural networks
Synchronism
Complete synchronization
Quasi-synchronization
Fractional-order
Fuzzy BAM neural networks
Nonlinear control
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ISSN1370-4621
1573-773X
DOI10.1007/s11063-022-10769-x

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Summary:This paper investigates quasi-synchronization (QS) and complete synchronization(CS) for fractional-order fuzzy bidirectional associative memory neural networks. To realize QS and CS, two kinds of novel nonlinear controllers are designed, which are more general and effective compared to the existing results. By using Lyapunov function method, fractional calculation and some inequality techniques, some sufficient synchronization criteria are derived for the considered networks. Moreover, the error level of QS is estimated. Finally, two illustrative examples are presented to show the effectiveness of our results.
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ISSN:1370-4621
1573-773X
DOI:10.1007/s11063-022-10769-x