On event-triggered ADRC for uncertain systems: Framework, design and analysis

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Guojie Tang , Wenchao Xue , Xiaodong Lu , Yanlong Zhao
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引用次数: 0

Abstract

In this paper, we propose a composite framework that combines active disturbance rejection control (ADRC) and event-triggered mechanism (ETM) to address the signal-tracking problem in uncertain systems while reducing communication resource consumption. The framework, referred to as event-triggered ADRC (ET-ADRC), utilizes independent ETMs for the sensor and controller, allowing for effective handling of uncertainties while conserving communication resources. Two variants of ET-ADRC are explored: one based on a static event-triggered mechanism and another on a dynamic event-triggered mechanism. For the static ET-ADRC framework, we provide a rigorous proof of the closed-loop system’s stability and analyze the impact of ETMs on control performance. Additionally, we demonstrate that the proposed method effectively prevents Zeno behavior. Similarly, for the dynamic ET-ADRC framework, we establish results regarding closed-loop system stability, the influence of ETMs on control performance, and the avoidance of Zeno behavior. Notably, we show that by adjusting one of the dynamic event-triggered mechanism parameters, the decoupling of trigger frequency and closed-loop performance can be realized.
不确定系统的事件触发 ADRC:框架、设计与分析
本文提出了一种结合主动干扰抑制控制(ADRC)和事件触发机制(ETM)的复合框架,以解决不确定系统中的信号跟踪问题,同时减少通信资源消耗。该框架被称为事件触发 ADRC (ET-ADRC),传感器和控制器使用独立的 ETM,从而在节约通信资源的同时有效处理不确定性。本文探讨了 ET-ADRC 的两种变体:一种基于静态事件触发机制,另一种基于动态事件触发机制。对于静态 ET-ADRC 框架,我们提供了闭环系统稳定性的严格证明,并分析了 ETM 对控制性能的影响。此外,我们还证明了所提出的方法能有效防止 Zeno 行为。同样,对于动态 ET-ADRC 框架,我们建立了有关闭环系统稳定性、ETM 对控制性能的影响以及避免 Zeno 行为的结果。值得注意的是,我们发现通过调整动态事件触发机制的一个参数,可以实现触发频率与闭环性能的解耦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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