Event-Triggered Control for Consensus of Multiagent Systems With Binary-Valued Measurements

• 成果类型: Article
• 署名作者: Lu, Xiaodong; Wang, Ting; Zhao, Yanlong
• 署名单位: Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; University of Science & Technology Beijing; University of Science & Technology Beijing; Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3347480
• 发表日期: 2024
• 页码: 4630-4642
• 关键词: convergence; testing; Protocols; Feedback control; Multi-agent systems; estimation error; Communication channels; Binary-valued measurements; consensus; event-triggered control; multiagent systems (MASs)

摘要

This article adopts the event-triggered control strategy to investigate the consensus problem of multiagent systems. Owing to the effect of random noises, the communication information among agents is transmitted based on binary-valued measurements. Each agent employs the recursive projection algorithm to estimate the states of all neighbors. Then, an event-triggered protocol with time-varying threshold parameters is proposed to guarantee that the state of each agent can lie within the same bounded region as the estimate of its neighbors' states. Furthermore, this article emphasizes that this kind of same bounded relation is necessary and essential to achieve a precise state estimate and the desired consensus performance. By the designed control law, the estimation error and the consensus error can converge to zero in the mean square sense with explicit convergence rates O(t(-a))(a>0is a constant). Finally, this article shows that the communication rate of the designed control scheme can almost surely converge to zero with a rate o (t(-kappa)) ( kappa > 0 is a constant), and is much lower than the existing results when achieving the same convergence value. Thus, the communication resources can be saved. An example is presented to illustrate the advantage of the proposed control strategy.