Fully Distributed Control of Multiagent Networks With Edge-Based Event-Triggered Communication

• 成果类型: Article
• 署名作者: Guo, Shaopan; Meng, Xiangyu
• 署名单位: Louisiana State University System; Louisiana State University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3223973
• 发表日期: 2023
• 页码: 5630-5637
• 关键词: Synchronization; Knowledge engineering; TOPOLOGY; system dynamics; Surges; Protocols; optimization; Adaptive control; event-triggered control; multiagent network

摘要

This article addresses the synchronization problem of linear multiagent systems with intermittent communication. To solve this problem, we propose an adaptive distributed control algorithm with edge-based event-triggering mechanisms that differs fundamentally from existing approaches in that it does not employ any form of global topology information and absolute state information. Instead, agents update their control signals and check triggering conditions based on relative state information. As our main contribution, we prove that all agents achieve global asymptotic synchronization with strictly positive minimum interevent times by using the proposed event-triggered control method when the communication graph is connected. The main result is illustrated with an example, and through which we demonstrate the effectiveness of the proposed algorithm.