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

被引：18
|
作者：
Yang, Juanping [1 ]
Li, Hong-Li [1 ,2 ]
Yang, Jikai [1 ]
Zhang, Long [1 ]
Jiang, Haijun [1 ]
机构：
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2022年 / 54卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Fractional-order; Nonlinear control; Fuzzy BAM neural networks; Quasi-synchronization; Complete synchronization; MATRIX MEASURE STRATEGIES; EXPONENTIAL STABILITY; DISTRIBUTED DELAYS; FINITE-TIME; STABILIZATION; SYSTEMS; MODEL;
D O I：
10.1007/s11063-022-10769-x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：3303 / 3319
页数：17
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