上下界
应用数学
数学
简单(哲学)
李雅普诺夫函数
趋同(经济学)
指数函数
区间(图论)
指数增长
跟踪误差
控制理论(社会学)
计算机科学
数学优化
算法
控制(管理)
非线性系统
人工智能
数学分析
经济
哲学
物理
组合数学
认识论
量子力学
经济增长
作者
Kedong Xu,Lan Gao,Fei Chen,Chaojie Li,Qi Xuan
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2021-07-01
卷期号:68 (7): 2578-2582
被引量:8
标识
DOI:10.1109/tcsii.2021.3054039
摘要
This brief focuses on the dynamic weighted average consensus problem and aims to achieve accurate tracking of the weighted average of all the time-varying reference signals in a network. We first propose a robust dynamic weighted average consensus (RDWAC) algorithm that employs a simple fixed control gain and introduces an individual weight for each agent compared with recent works. Furthermore, a theoretical finite-time convergence analysis instead of an asymptotic one is provided by constructing a novel Lyapunov function, which shows that the accurate weighted average consensus can be reached exponentially within a finite time interval. In addition, the lower bound of the required convergence time is given and the relationship between the lower bound and the initial steady-state error and control parameters is established explicitly. Finally, some numerical examples are given to illustrate the effectiveness of the proposed algorithm.
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