Fully Distributed Prescribed-Time Leader-Following Output Consensus of Heterogeneous Multi-Agent Systems With Dynamic Event-Triggered Mechanism

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-10-31 DOI:10.1109/TASE.2024.3485052
Hongpeng Li;Xinchun Jia;Xiaobo Chi;Bin Li
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Abstract

The fully distributed prescribed-time leader-following output consensus (FDPT-LFOC) of heterogeneous multi-agent systems (HMASs) with a dynamic event-triggered mechanism (ETM) is investigated in this paper. First, a fully distributed prescribed-time (FDPT) observer is developed for each agent to estimate the leader’s state by incorporating an adaptive gain and a time-varying scaling function. The adaptive gain is used to avoid the utilization of global information (e.g., the Laplace matrix eigenvalues, the number of agents) in the observer design, while the time-varying scaling function plays an important role in the PT accurate estimation for the leader’s state. Then, in order to avoid continuous communication among agents while implementing the FDPT-LFOC, a novel dynamic ETM containing a dynamic threshold and the time-varying scaling function is designed. A novel distributed PT (DPT) controller is developed based on the proposed FDPT observer and dynamic ETM. It is shown that the HMASs with the proposed DPT controllers and dynamic ETMs achieve the LFOC within a PT and maintain its consensus performance afterward, while the Zeno behavior can be excluded. Finally, the effectiveness of the proposed controller and dynamic ETM is verified by a simulation example. Note to Practitioners—This paper is motivated by achieving the FDPT-LFOC of HMASs with intermittent communication. Although various finite- and fixed-time consensus controllers have been developed for HMASs, the settling time for the controlled HMASs depends on their initial states and control parameters, which cannot be arbitrarily set according to the task requirements. There, it is difficult to apply these results to many time-critical fields, such as missile guidance, emergency braking, and so on. Moreover, most of the existing PT consensus results are focused on first-order or nonlinear MASs and dependent on continuous communication among neighboring agents, which also restricts their application in practical engineering. Therefore, in this paper, a DPT controller and a dynamic ETM are proposed for HMASs to deal with the above challenges.
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具有动态事件触发机制的异构多代理系统的全分布式规定时间领导-跟随输出共识
研究了具有动态事件触发机制(ETM)的异构多智能体系统(HMASs)的完全分布式规定时间leader-follow - output consensus (FDPT-LFOC)。首先,通过引入自适应增益和时变尺度函数,为每个智能体开发了一个完全分布的规定时间观测器来估计领导者的状态。采用自适应增益避免了观测器设计中对全局信息(如拉普拉斯矩阵特征值、agent个数)的利用,而时变尺度函数在对leader状态的PT精确估计中起着重要作用。然后,为了避免agent之间在实现FDPT-LFOC时的连续通信,设计了一种包含动态阈值和时变尺度函数的动态ETM。提出了一种基于FDPT观测器和动态ETM的分布式PT控制器。结果表明,采用所提出的DPT控制器和动态etm的HMASs在一个PT内实现了LFOC并保持了共识性能,同时可以排除芝诺行为。最后,通过仿真实例验证了所提控制器和动态ETM的有效性。从业人员注意事项:本文的动机是通过间歇性通信实现HMASs的FDPT-LFOC。虽然针对HMASs已经开发了各种有限时间和固定时间的一致性控制器,但被控HMASs的稳定时间取决于其初始状态和控制参数,不能根据任务要求任意设置。因此,这些结果很难应用于许多时间关键领域,如导弹制导、紧急制动等。此外,现有的PT一致性结果大多集中在一阶或非线性质量上,并且依赖于相邻智能体之间的连续通信,这也限制了它们在实际工程中的应用。因此,本文提出了HMASs的DPT控制器和动态ETM来应对上述挑战。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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