Lagrange synchronization of nonidentical discrete-time fractional-order quaternion-valued neural networks with time delays

被引:1
作者
Zhao, Mingfang [1 ,2 ]
Li, Hong-Li [1 ]
Yang, Juanping [1 ]
Zhang, Long [1 ]
机构
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830017, Peoples R China
[2] Chengxian No 1 Middle Sch, Math Grp, Chengxian 742500, Peoples R China
基金
中国国家自然科学基金;
关键词
Lagrange synchronization; Quaternion-valued neural networks; Fractional-order; Discrete-time; Time delays; STABILITY; BIFURCATION;
D O I
10.1007/s40314-024-02904-2
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is devoted to the study of Lagrange synchronization of nonidentical discrete-time fractional-order quaternion-valued neural networks (DFQNNs) with time delays. First, a new inequality is established by using the definition and operational principles of quaternion sign function. Next, in order to achieve Lagrange synchronization, a state feedback controller is designed. And then, some criteria are derived to guarantee Lagrange synchronization of nonidentical DFQNNs by employing Lyapunov method and fractional difference theory as well as quaternion properties. Finally, the validity and feasibility of the theoretical results are verified by numerical simulations.
引用
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页数:13
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[11]   Synchronization analysis of nabla fractional-order fuzzy neural networks with time delays via nonlinear feedback control [J].
Li, Hong-Li ;
Cao, Jinde ;
Hu, Cheng ;
Jiang, Haijun ;
Alsaedi, Ahmed .
FUZZY SETS AND SYSTEMS, 2024, 475
[12]   Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays [J].
Li, Hong -Li ;
Cao, Jinde ;
Hu, Cheng ;
Zhang, Long ;
Jiang, Haijun .
NEURAL NETWORKS, 2023, 168 :59-73
[13]   Synchronization Analysis of Discrete-Time Fractional-Order Quaternion-Valued Uncertain Neural Networks [J].
Li, Hong-Li ;
Cao, Jinde ;
Hu, Cheng ;
Jiang, Haijun ;
Alsaadi, Fawaz E. .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (10) :14178-14189
[14]   Global synchronization of fractional-order quaternion-valued neural networks with leakage and discrete delays [J].
Li, Hong-Li ;
Jiang, Haijun ;
Cao, Jinde .
NEUROCOMPUTING, 2020, 385 :211-219
[15]   Dynamical analysis of a fractional-order predator-prey model incorporating a prey refuge [J].
Li, Hong-Li ;
Zhang, Long ;
Hu, Cheng ;
Jiang, Yao-Lin ;
Teng, Zhidong .
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2017, 54 (1-2) :435-449
[16]   Hybrid control-based synchronization of fractional-order delayed complex-valued fuzzy neural networks [J].
Li, Jie ;
Li, Hong-Li ;
Yang, Juanping ;
Yang, Jikai ;
Zhang, Long .
COMPUTATIONAL & APPLIED MATHEMATICS, 2023, 42 (04)
[17]   Stabilization and synchronization control of quaternion-valued fuzzy memristive neural networks: Nonlinear scalarization approach [J].
Li, Ruoxia ;
Cao, Jinde .
FUZZY SETS AND SYSTEMS, 2024, 477
[18]   Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks [J].
Li, Ruoxia ;
Cao, Jinde ;
Xue, Changfeng ;
Manivannan, R. .
APPLIED MATHEMATICS AND COMPUTATION, 2021, 395 (395)
[19]   Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays [J].
Li, Xiaodi ;
Rakkiyappan, R. ;
Velmurugan, G. .
INFORMATION SCIENCES, 2015, 294 :645-665
[20]   Projective Synchronization Analysis of Fractional-Order Neural Networks With Mixed Time Delays [J].
Liu, Peng ;
Kong, Minxue ;
Zeng, Zhigang .
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (07) :6798-6808