Distributed Event-Triggered Cooperative Output Regulation for Multiagent Systems

IF 4 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Jiakang Han;Xiaoqun Wu;Bing Mao;Hui Liu;Jinhu Lü
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引用次数: 0

Abstract

The cooperative output regulation problem of heterogeneous nonlinear multiagent systems is investigated by using the distributed event-triggered control. One of the main challenges in solving this problem is removing the restrictions imposed on the exosystem matrix while avoiding using global information. To address this challenge, a distributed event-triggered observer is proposed for each agent to estimate the upper bound of the norm of the exosystem matrix, based on which all agents can obtain the same upper bound in finite time. In particular, two types of distributed event-triggered observers are designed to estimate the exosystem matrix and the exosystem state. Meanwhile, with a clock-like variable being incorporated into the event-triggered mechanism, the existence of a positive minimum interevent time can be guaranteed for each agent. Furthermore, external disturbances with known dynamics can be compensated effectively by the proposed adaptive controllers. A numerical example is finally given to illustrate the effectiveness of the proposed control technique.
本文利用分布式事件触发控制研究了异构非线性多代理系统的合作输出调节问题。解决这一问题的主要挑战之一是在避免使用全局信息的同时,消除对外部系统矩阵的限制。为解决这一难题,本文提出了一种分布式事件触发观测器,用于为每个代理估算外系统矩阵的规范上界,在此基础上,所有代理都能在有限时间内获得相同的上界。其中,设计了两种分布式事件触发观测器来估计外系统矩阵和外系统状态。同时,由于在事件触发机制中加入了类似时钟的变量,因此可以保证每个代理都存在正的最小事件发生时间。此外,建议的自适应控制器还能有效补偿已知动态的外部干扰。最后给出了一个数值示例,以说明所提控制技术的有效性。
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
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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