控制器(灌溉)
控制理论(社会学)
数学
分叉
拉普拉斯变换
霍普夫分叉
理论(学习稳定性)
计算机科学
控制(管理)
数学分析
人工智能
非线性系统
量子力学
生物
机器学习
物理
农学
作者
Peiluan Li,Xueqing Peng,Changjin Xu,Lei Han,Shengbo Shi
摘要
MiR‐17‐92 has a vital effect on the adjustment of the Myc/E2F protein in chemistry. In this work, we propose a novel fractional‐order delayed Myc/E2F/miR‐17‐92 network model that revels the relation between miR‐17‐92, E2F, and Myc. Taking advantage of Laplace transform, we obtain the characteristic equation of the established fractional‐order delayed Myc/E2F/miR‐17‐92 network model. By virtue of stability theorem and bifurcation criterion of fractional‐order dynamical equation, a novel delay‐independent condition guaranteeing the stability and the generation of bifurcation phenomenon of the involved model is acquired. By exploiting a proper extended mixed controller (including controller and delayed feedback controller), we efficiently control the stability domain and the emergence of bifurcation for the the involved model. By utilizing another suitable extended mixed controller (including controller and hybrid controller), we can successfully adjust the stability domain and the emergence of bifurcation for the the involved model. The research indicates that delay plays a vital role in stabilizing system and controlling bifurcation of the fractional‐order delayed Myc/E2F/miR‐17‐92 network model. Computer experiment results illustrate the scientificity of the gained key analytical outcomes. The acquired results in this research are totally innovative and own immense theoretical meaning in regulating the concentrations of different proteins.
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