An Artificial-Delay-Based Looped Functional for Dynamic Event-Triggered Fault-Tolerant Control of T-S Fuzzy Multi-Agent Systems

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-08-12 DOI:10.1109/TASE.2024.3436927
Huichao Lin;Jiuxiang Dong;Ju H. Park
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Abstract

This paper investigates the event-triggered (ET) fault-tolerant control problem of T-S fuzzy multi-agent systems (MASs) subject to actuator faults. A novel dynamic event-triggering mechanism is proposed to optimize communication transmission efficiency between agents. This mechanism includes some existing event-triggering mechanisms as exceptional cases and allows flexible adjustment of threshold parameters based on the system state variations. Under this triggering mechanism, the fault-tolerant control problem of MASs is transformed into a stability problem of time-delay systems with the help of artificial time-delay methods. Based on this, an artificial-delay-based looped functional is proposed to improve the existing Lyapunov functional. Then, a sufficient condition for fault-tolerance consensus of MASs, which can tolerate larger ET threshold parameters, is derived. Finally, the effectiveness of the proposed ET fault-tolerant control strategy is validated through application to the Duffing-Van der Pol oscillators. Note to Practitioners—The motivation of this paper is to optimize communication resources and deal with potential actuator failures in cooperative control of MASs, which are widely used in autonomous vehicles, industrial automation, and the Internet of Things. It is noted that frequent communication between MASs will cause communication congestion and reduce control efficiency, and actuator failure will inevitably occur due to physical damage or aging. Thus, the study of ET fault-tolerant control not only helps to optimize communication resources, but also ensures the reliable operation of MASs in the face of actuator abnormal situations, guaranteeing stability and reliability in practical applications. This paper proposes a novel dynamic ET fault-tolerant control protocol to achieve cooperative control objectives in the presence of actuator faults. Additionally, an artificial-delay-based looped functional is constructed to enhance the design flexibility of the ET mechanism and controller. The ET fault-tolerant control strategy is applied to the Duffing-Van der Pol oscillator model to verify its effectiveness and practicability.
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基于人工延迟的循环函数,用于 T-S 模糊多代理系统的动态事件触发容错控制
研究了T-S模糊多智能体系统在执行器故障情况下的事件触发容错控制问题。为了优化agent间的通信传输效率,提出了一种新的动态事件触发机制。该机制包括一些现有的事件触发机制作为例外情况,并允许根据系统状态变化灵活调整阈值参数。在此触发机制下,借助人工时滞方法将质量的容错控制问题转化为时滞系统的稳定性问题。在此基础上,提出了一种基于人工延迟的环泛函来改进现有的Lyapunov泛函。然后,导出了MASs容错一致性的充分条件,使其能够容忍较大的ET阈值参数。最后,通过在Duffing-Van der Pol振子上的应用验证了所提出的ET容错控制策略的有效性。从业人员注意:本文的动机是优化通信资源和处理MASs协同控制中潜在的执行器故障,这在自动驾驶汽车、工业自动化和物联网中被广泛应用。需要注意的是,MASs之间的频繁通信会造成通信拥塞,降低控制效率,执行器不可避免地会因物理损坏或老化而失效。因此,研究ET容错控制不仅有助于优化通信资源,而且可以保证MASs在执行器异常情况下可靠运行,保证实际应用中的稳定性和可靠性。本文提出了一种新的动态ET容错控制协议,以实现执行器故障情况下的协同控制目标。此外,构造了一个基于人工延迟的环函式,以提高ET机构和控制器的设计灵活性。将ET容错控制策略应用于Duffing-Van der Pol振子模型,验证了其有效性和实用性。
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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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