New exploration on bifurcation in fractional-order genetic regulatory networks incorporating both type delays

被引:30
作者
Li, Peiluan [1 ]
Li, Ying [1 ]
Gao, Rong [1 ]
Xu, Changjin [2 ]
Shang, Youlin [1 ]
机构
[1] Henan Univ Sci & Technol, Sch Math & Stat, Luoyang 471023, Peoples R China
[2] Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Peoples R China
基金
中国国家自然科学基金;
关键词
TIME-VARYING DELAYS; NEURAL-NETWORKS; PD CONTROL; STABILITY; MODEL; SYSTEM;
D O I
10.1140/epjp/s13360-022-02726-3
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This study principally deals with the stability property and the emergence of Hopf bifurcation for fractional-order genetic regulatory networks incorporating distributed delays and discrete delays. By two suitable variable substitutions, we obtain two new equivalent fractional-order differential systems involving only discrete delay. Applying the stability technique and bifurcation theory of fractional-order differential equations, we set up two new sufficient criteria guaranteeing the stability and the generation of Hopf bifurcation of the involved fractional-order genetic regulatory network models. The research confirms that the delay has a momentous influence on the stability of networks and bifurcation control for the considered fractional-order genetic regulatory networks. The Matlab simulation plots effectively check the effectiveness of the theoretical analysis. The established results of this research can be powerfully utilized to control genetic regulatory networks and owns very useful theoretical value in life activities.
引用
收藏
页数:31
相关论文
共 48 条
[1]   Non-fragile synchronization of genetic regulatory networks with randomly occurring controller gain fluctuation [J].
Ali, M. Syed ;
Agalya, R. ;
Hong, Keum-Shik .
CHINESE JOURNAL OF PHYSICS, 2019, 62 :132-143
[2]   Stability and bifurcation analysis for a fractional prey-predator scavenger model [J].
Alidousti, Javad .
APPLIED MATHEMATICAL MODELLING, 2020, 81 :342-355
[3]  
[Anonymous], 1999, MATH SCI ENG
[4]   Robust asymptotic stability of fuzzy Markovian jumping genetic regulatory networks with time-varying delays by delay decomposition approach [J].
Balasubramaniam, P. ;
Sathy, R. .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2011, 16 (02) :928-939
[5]  
Bandyopadhyay B, 2015, LECT NOTES ELECTR EN, V317, P1, DOI 10.1007/978-3-319-08621-7
[6]  
Deng WH, 2007, NONLINEAR DYNAM, V48, P409, DOI [10.1007/s11071-006-9094-0, 10.1007/s11071 -006-9094-0]
[7]   New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay [J].
Du, Feifei ;
Lu, Jun-Guo .
APPLIED MATHEMATICS AND COMPUTATION, 2021, 389
[8]   Bifurcations in a fractional-order neural network with multiple leakage delays [J].
Huang, Chengdai ;
Liu, Heng ;
Shi, Xiangyun ;
Chen, Xiaoping ;
Xiao, Min ;
Wang, Zhengxin ;
Cao, Jinde .
NEURAL NETWORKS, 2020, 131 :115-126
[9]   Novel bifurcation results for a delayed fractional-order quaternion-valued neural network [J].
Huang, Chengdai ;
Nie, Xiaobing ;
Zhao, Xuan ;
Song, Qiankun ;
Tu, Zhengwen ;
Xiao, Min ;
Cao, Jinde .
NEURAL NETWORKS, 2019, 117 :67-93
[10]   Hybrid control on bifurcation for a delayed fractional gene regulatory network [J].
Huang, Chengdai ;
Cao, Jinde ;
Xiao, Min .
CHAOS SOLITONS & FRACTALS, 2016, 87 :19-29