计算机科学
事件(粒子物理)
初始化
新颖性
方案(数学)
控制理论(社会学)
人工智能
数学
控制(管理)
数学分析
哲学
物理
神学
量子力学
程序设计语言
作者
Tao Xu,Zhisheng Duan,Guanghui Wen,Zhiyong Sun
出处
期刊:Automatica
[Elsevier]
日期:2024-03-01
卷期号:161: 111495-111495
标识
DOI:10.1016/j.automatica.2023.111495
摘要
This paper studies a challenging issue introduced in a recent survey, namely designing a distributed event-based scheme to solve the dynamic average consensus (DAC) problem. First, a robust adaptive distributed event-based DAC algorithm is designed without imposing specific initialization criteria to perform estimation task under intermittent communication. Second, a novel adaptive distributed dynamic event-triggered mechanism is proposed to determine the triggering time when neighboring agents broadcast information to each other. Compared to the existing event-triggered mechanisms, the novelty of the proposed dynamic event-triggered mechanism lies in that it guarantees the existence of a positive and uniform minimum inter-event interval without sacrificing any accuracy of the estimation, which is much more practical than only ensuring the exclusion of the Zeno behavior or the boundedness of the estimation error. Third, a composite adaptive law is developed to update the adaptive gain employed in the distributed event-based DAC algorithm and dynamic event-triggered mechanism. Using the composite adaptive update law, the distributed event-based solution proposed in our work is implemented without requiring any global information. Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results.
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