Discrete Communication and Control Updating in Adaptive Dynamic Event-Triggered Consensus

• 成果类型: Article
• 署名作者: Cheng, Bin; Lv, Yuezu; Li, Zhongkui; Duan, Zhisheng
• 署名单位: Tongji University; Beijing Institute of Technology; Beijing Institute of Technology; Peking University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3260681
• 发表日期: 2024
• 页码: 347-354
• 关键词: adaptive control; consensus; directed graph; discrete communication; discrete control updating; event-triggered control

摘要

This article studies the consensus control problem faced with three essential demands, namely, discrete control updating for each agent, discrete-time communications among neighboring agents, and the fully distributed fashion of the controller implementation without requiring any global information of the network topology. Note that the existing related results only meet one or two demands at most, which are essentially not applicable to this problem. In this article, a novel dynamic triggering condition is first presented, which is independent of the relative information among neighboring agents, providing potential opportunities to conquer the difficulties caused by the interaction of the aforementioned three demands. Based on the proposed triggering condition, a framework on fully distributed adaptive consensus protocol with discrete communication and control updating is established. The thorough analysis of the adaptive gain is made by introducing a virtual adaptive gain to generate the Lyapunov function candidate, which significantly facilitates the consensus verification. Finally, numerical examples and comparisons are provided to verify the effectiveness of the proposed adaptive dynamic event-triggered protocols.