{"title":"Cooperative Output Regulation of Heterogeneous Discrete-time Networked Multi-agent Systems With Communication Constraints","authors":"Qingpeng Liang, Jiangping Hu, Linying Xiang, Kaibo Shi, Yanzhi Wu","doi":"10.1007/s12555-023-0339-1","DOIUrl":null,"url":null,"abstract":"<p>The output regulation (OR) problem for linear heterogeneous networked multi-agent systems (NMAS) with communication constraints is investigated in this paper. A cost function is given to measure the coordinated control between NMAS. The objective of this paper is to design controllers such that not only the cost function is optimized, the asymptotic tracking and disturbance rejection are achieved but also the communication constraints are actively compensated. It is assumed that only a part of agents can receive the information of the exosystem, which can generate the reference signal and the disturbance signal. First, distributed observers are proposed to estimate the states of the subsystems and the state of the exosystem, which can guarantee the exponentially convergence of the estimation errors. Then, an observer-based predictive controller is proposed using feedforward method and networked predictive control method. With the help of OR technique, it indicates that the proposed predictive control scheme can deal with the OR problem. Finally, a numerical example is presented to illustrate our results.</p>","PeriodicalId":54965,"journal":{"name":"International Journal of Control Automation and Systems","volume":"11 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Control Automation and Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12555-023-0339-1","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The output regulation (OR) problem for linear heterogeneous networked multi-agent systems (NMAS) with communication constraints is investigated in this paper. A cost function is given to measure the coordinated control between NMAS. The objective of this paper is to design controllers such that not only the cost function is optimized, the asymptotic tracking and disturbance rejection are achieved but also the communication constraints are actively compensated. It is assumed that only a part of agents can receive the information of the exosystem, which can generate the reference signal and the disturbance signal. First, distributed observers are proposed to estimate the states of the subsystems and the state of the exosystem, which can guarantee the exponentially convergence of the estimation errors. Then, an observer-based predictive controller is proposed using feedforward method and networked predictive control method. With the help of OR technique, it indicates that the proposed predictive control scheme can deal with the OR problem. Finally, a numerical example is presented to illustrate our results.
本文研究了具有通信约束的线性异构网络多代理系统(NMAS)的输出调节(OR)问题。本文给出了一个成本函数来衡量 NMAS 之间的协调控制。本文的目标是设计出不仅能优化成本函数、实现渐近跟踪和干扰抑制,而且能积极补偿通信约束的控制器。假设只有一部分代理可以接收外系统的信息,从而产生参考信号和干扰信号。首先,提出了分布式观测器来估计子系统的状态和外系统的状态,这可以保证估计误差的指数收敛性。然后,利用前馈方法和网络化预测控制方法提出了基于观测器的预测控制器。借助 OR 技术,表明所提出的预测控制方案能够处理 OR 问题。最后,通过一个数值示例来说明我们的结果。
期刊介绍:
International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE).
The journal covers three closly-related research areas including control, automation, and systems.
The technical areas include
Control Theory
Control Applications
Robotics and Automation
Intelligent and Information Systems
The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.