Self-Triggered Consensus Control of Multiagent Systems From Data

• 成果类型: Article
• 署名作者: Li, Yifei; Wang, Xin; Sun, Jian; Wang, Gang; Chen, Jie
• 署名单位: Beijing Institute of Technology; Tongji University; Beijing Institute of Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3351865
• 发表日期: 2024
• 页码: 4702-4709
• 关键词: Linear matrix inequalities; data models; Symmetric matrices; Stability criteria; Noise measurement; Multi-agent systems; monitoring; Consensus control; Data-driven control; Distributed control; self-triggered control

摘要

This article considers self-triggered consensus control (STC) of unknown linear multiagent systems (MASs). Self-triggering mechanisms (STMs) are widely used in MASs, thanks to their advantages in avoiding continuous monitoring and saving computing and communication resources. However, existing results require the knowledge of system matrices, which are difficult to obtain in real-world settings. To address this challenge, we present a data-driven approach to designing STMs for unknown MASs building upon the model-based solutions. Our approach leverages a system lifting method, which allows us to derive a data-driven representation for the MAS. Subsequently, a data-driven STC scheme is designed, which combines a data-driven STM with a state feedback control law. We establish a data-based stability criterion for asymptotic consensus of the closed-loop MAS in terms of linear matrix inequalities, whose solution provides a matrix for the STM as well as a stabilizing controller gain. Numerical tests are conducted to validate the correctness of the proposed data-driven STC.