Novel Nonlinear Control for a Class of Non-Integer Order Time Lag Gene System

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Xiaoling Shi
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引用次数: 0

Abstract

This study presents the bifurcation analysis and stabilization via the impulsive control of a fractional-order gene regulatory network with time delay. First, the author chooses the transcription rate k as the bifurcation parameter and obtains the Hopf bifurcation condition by analyzing its characteristic equation. The research shows that Hopf bifurcation occurs when the transcription rate k exceeds a critical value. This bifurcation behavior may destabilize the system. Subsequently, the author designs an impulsive controller to stabilize the system. Finally, simulation examples are used to verify our theory.
一类非整数阶时滞基因系统的新型非线性控制
研究了一类具有时滞的分数阶基因调控网络的分岔分析和脉冲控制稳定化问题。首先选取转录率k作为分岔参数,通过分析其特征方程得到Hopf分岔条件。研究表明,当转录速率k超过临界值时,Hopf分岔发生。这种分岔行为可能使系统不稳定。随后,作者设计了一个脉冲控制器来稳定系统。最后,通过仿真算例验证了本文的理论。
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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