Robust synchronization of multi-weighted fractional order complex dynamical networks under nonlinear coupling via non-fragile control with leakage and constant delays

被引:9
作者
Aadhithiyan, S. [1 ,2 ]
Raja, R. [3 ,4 ]
Dianavinnarasi, J. [5 ]
Alzabut, J. [6 ,7 ]
Baleanu, D. [8 ,9 ]
机构
[1] Cornell Univ, Syst Engn, Ithaca, NY 14853 USA
[2] Alagappa Univ, Dept Math, Karaikkudi 630003, India
[3] Alagappa Univ, Ramanujan Ctr Higher Math, Karaikkudi 630 003, India
[4] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut, Lebanon
[5] Chennai Inst Technol, Ctr Computat Modeling, Chennai 600069, Tamil Nadu, India
[6] Prince Sultan Univ, Dept Math & Sci, Riyadh 11586, Saudi Arabia
[7] OSTIM Tech Univ, Dept Ind Engn, TR-06374 Ankara, Turkiye
[8] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkiye
[9] Inst Space Sci, Bucharest, Romania
关键词
Robust synchronization; Multi-weights; Complex dynamical networks; Leakage delays; Non-linear coupling; Non-fragile control; FINITE-TIME; NEURAL-NETWORKS; STABILITY ANALYSIS;
D O I
10.1016/j.chaos.2023.113788
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this article, we examine the impact of leakage delays on robust synchronization for fractional order multi-weighted complex dynamical networks(MFCDN) under non-linear coupling via non-fragile control. By employing the fractional order comparison principle, suitable Lyapunov method, and some fractional order inequality techniques, we ensured the robust asymptotical synchronization for MFCDN. In addition to common findings, we have done some specific research in order to get reliable synchronization for multi-weighted complex dynamical network(MCDN) without leakage delay. Additionally, our findings gained are applicable to single weighted FCDN and integer order complex dynamical networks, regardless of whether they have a single weight or many weights. Our suggested approach is shown to be more effective and practical in this article by providing a numerical simulation.
引用
收藏
页数:12
相关论文
共 39 条
[1]  
Boyd S., 1994, Linear Matrix Inequalities in System and Control Theory
[2]   An Asynchronous Operation Approach to Event-Triggered Control for Fuzzy Markovian Jump Systems With General Switching Policies [J].
Cheng, Jun ;
Park, Ju H. ;
Zhang, Lixian ;
Zhu, Yanzheng .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (01) :6-18
[3]   Using general quadratic Lyapunov functions to prove Lyapunov uniform stability for fractional order systems [J].
Duarte-Mermoud, Manuel A. ;
Aguila-Camacho, Norelys ;
Gallegos, Javier A. ;
Castro-Linares, Rafael .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2015, 22 (1-3) :650-659
[4]  
Fan H, 2021, IEEE ACCESS, P9
[5]   Leakage delays in BAM [J].
Gopalsamy, K. .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2007, 325 (02) :1117-1132
[6]  
Gopalsamy K., 1992, Stability and Oscillations in Delay Differential Equations of Population Dynamics
[7]   Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays [J].
Guo, Runan ;
Zhang, Ziye ;
Liu, Xiaoping ;
Lin, Chong .
APPLIED MATHEMATICS AND COMPUTATION, 2017, 311 :100-117
[8]  
Huang C, 2023, NONLINEAR DYNAM
[9]   Fractional order-induced bifurcations in a delayed neural network with three neurons [J].
Huang, Chengdai ;
Wang, Huanan ;
Cao, Jinde .
CHAOS, 2023, 33 (03)
[10]   Detections of bifurcation in a fractional-order Cohen-Grossberg neural network with multiple delays [J].
Huang, Chengdai ;
Mo, Shansong ;
Cao, Jinde .
COGNITIVE NEURODYNAMICS, 2024, 18 (03) :1379-1396