Event-triggered distributed predictive control for multi-agent systems with stability constraints

IF 4.8 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Automatica Pub Date : 2025-05-02 DOI:10.1016/j.automatica.2025.112358

Dongdong Qin , Chongjin Ong , Andong Liu , Wen-an Zhang , Li Yu

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引用次数: 0

Abstract

This article investigates the event-triggered distributed predictive control problem for multi-agent systems, where each subsystem is subject to bounded disturbances and input constraints. Compared with existing works, we derive a less conservative event-triggering mechanism for each subsystem that does not involve neighbors’ information by leveraging stability constraints. This approach alleviates energy consumption and communication load in resource-constrained multi-agent systems. In our proposed framework, each subsystem solves the distributed optimization problem and transmits its information to its neighbors only when a certain level of control performance cannot be guaranteed according to the designed triggering condition. Moreover, a dynamic event-triggering mechanism is introduced by relaxing the requirements for the Lyapunov function candidate, thereby achieving longer inter-execution times between successive triggering instants. Theoretical analyses are developed to guarantee feasibility and closed-loop stability. Finally, numerical simulation examples are provided to verify the effectiveness of the proposed algorithms.

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具有稳定性约束的多智能体系统的事件触发分布式预测控制

本文研究了多智能体系统的事件触发分布式预测控制问题，其中每个子系统都受到有界干扰和输入约束。与已有的研究成果相比，我们利用稳定性约束，推导出了一种不涉及邻居信息的小保守事件触发机制。该方法降低了资源受限多智能体系统的能耗和通信负荷。在我们提出的框架中，每个子系统解决分布式优化问题，只有在不能保证一定程度的控制性能时，才根据设计的触发条件将自己的信息传递给相邻子系统。此外，通过放宽对Lyapunov候选函数的要求，引入了动态事件触发机制，从而实现了连续触发时刻之间更长的间隔执行时间。为保证系统的可行性和闭环稳定性，进行了理论分析。最后，通过数值仿真实例验证了算法的有效性。

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

Automatica 工程技术-工程：电子与电气

CiteScore

10.70

自引率

7.80%

发文量

617

审稿时长

5 months

期刊介绍： Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.