李雅普诺夫函数
控制理论(社会学)
理论(学习稳定性)
数学
功能(生物学)
控制(管理)
基质(化学分析)
李雅普诺夫方程
计算机科学
应用数学
物理
人工智能
非线性系统
进化生物学
生物
量子力学
机器学习
复合材料
材料科学
作者
Tianrui Chen,Xiaoqi Liu,Yongbao Wu
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2023-11-07
卷期号:71 (4): 2069-2073
被引量:16
标识
DOI:10.1109/tcsii.2023.3330851
摘要
This brief explores the prescribed-time stability (PTS) of complex networks (CNs) with aperiodically intermittent control (AIC). A time-varying function is introduced in the new AIC so that the system can converge within an arbitrary prescribed time. A Lyapunov function is proposed by introducing an auxiliary function satisfying some conditions to solve the problem of studying the PTS for CNs with AIC. Then, combined Lyapunov method with Kirchhoff’s matrix tree theorem, the stability criterion for ensuring that CNs with AIC achieve the PTS is obtained. Furthermore, an application to coupled oscillator networks (CONs) is given. Some simulations are shown to demonstrate the validity of the main results.
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